Exploratorydataanalysis EDA is an approach to dataanalysis analysing data for the purpose of formulating ... others title ExploratoryDataAnalysis origdate origyear origmonth url format accessdate edition date ... Carnegie Mellon University free online course on EDA DEFAULTSORT ExploratoryDataAnalysis Category Exploratorydataanalysis Category Dataanalysis cs Explora n anal za dat de Explorative Datenanalyse ... Tukey to contrast with Statistical hypothesis testing Confirmatory DataAnalysis , the term used ... much emphasis in statistics was placed on statistical hypothesis testing confirmatory dataanalysis more emphasis needed to be placed on using data to suggest hypothesis hypotheses to test. In particular, he held that confusing the two types of analyses and employing them on the same set of data can lead to systematic bias owing to the issues inherent in testing hypotheses suggested by the data ... Data visualization Mondrian dataanalysis Mondrian is a free software for interactive Data ... of various media files e.g. video, sound . CMU DAP Carnegie Mellon University DataAnalysis Package ... , on importance of exploration Predictive analytics Structured dataanalysis statistics References reflist Bibliography Andrienko, N & Andrienko, G 2005 ExploratoryAnalysis of Spatial and Temporal ... & Tukey, John Wilder Eds first authorlink coauthors title Understanding Robust and ExploratoryDataAnalysis year 1983 publisher location isbn 0 471 09777 2 Leinhardt, G., Leinhardt, S., ExploratoryDataAnalysis New Tools for the Analysis of Empirical Data , Review of Research in Education, Vol. 8, 1980 1980 , pp. 85 157. Theus, M., Urbanek, S. 2008 , Interactive Graphics for DataAnalysis ... MacCallum, R. first authorling title Exploratory Factor Analysis year 1993 publisher location http ... DataAnalysis ISBN 0 87150 409 X Young, F. W. Valero Mora, P. and Friendly M. 2006 http www.uv.es visualstats ... statistical tools and techniques Provide a basis for further data collection through survey sampling ... more details
purposes. Business intelligence covers dataanalysis that relies heavily on aggregation, focusing on business information. In statistics statistical applications , some people divide dataanalysis into descriptive statistics , exploratorydataanalysis , and confirmatory dataanalysis . EDA ... are tested. Exploratorydataanalysis should be interpretative carefully. When testing multiple ... Data governance Data mining Early case assessment Exploratorydataanalysis Predictive analytics ...Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information , suggesting conclusions, and supporting decision making. Dataanalysis ..., in different business, science, and social science domains. Data mining is a particular dataanalysis ... . All are varieties of dataanalysis. Data integration is a precursor to dataanalysis, and dataanalysis is closely linked to data visualization and data dissemination. The term dataanalysis is sometimes ... fail or the presense of a characteristic The process of dataanalysisDataanalysis is a Process theory ... or a log. ref Ad r, 2008, p. 336 337. ref Initial dataanalysis The most important distinction between the initial dataanalysis phase and the main analysis phase, is that during initial dataanalysis ... dataanalysis phase is guided by the following four questions ref Ad r, 2008, p. 337. ref Quality ... to see whether data cleaning has had unwanted effects on the data. Analysis of Missing data missing ... dataanalysis phase depends on the analyses that will be conducted in the main analysis phase ... instrument measurement instruments should only be checked during the initial dataanalysis phase ... be checked are Dropout electronics dropout this should be identified during the initial dataanalysis ... the initial dataanalysis phase Treatment quality using manipulation check s . ref Ad r, 2008, p. 344 ... analysis phase. br The characteristics of the data sample can be assessed by looking at Basic statistics ... more details
Exploratory may refer to Exploration , the act of searching or traveling by land, sea, air or space for the purpose of discovery of resources or information Exploratory committee , in United States politics, an organization that tests the feasibility of a potential candidate running for an elected office Exploratorydataanalysis , an approach to analyzing data for the purpose of formulating hypotheses worth testing Exploratory engineering , a term that describes the process of making models of systems that are not feasible with current technologies Exploratory research , a type of research conducted for a problem that has not been clearly defined Exploratory search a specialization of information exploration used by searchers who have difficulties with the domain or achieving their goal Exploratory surgery , a surgery performed to find a diagnosis for an ailment, improvements in imaging technology have reduced their usage Exploratory testing , an approach to software testing that is concisely described as simultaneous learning, test design and test execution Space Solar Power Exploratory Research and Technology program , research conducted on the feasibility of solar power beamed from space disambig ... more details
Dablink This article is about structure in a dataset. For other uses see Structured dataanalysis . Structured dataanalysis is the statistics statistical dataanalysis of structured data. This can arise either in the form of an a priori structure such as multiple choice questionnaires or in situations with the need to search for structure that fits the given data, either exactly or approximately. This structure can then be used for making comparisons, predictions, manipulations etc. Types of structured dataanalysis Regression analysis Hierarchical Bayes model Bayesian analysis Cluster analysis Combinatorial dataanalysis Geometric dataanalysis Topological dataanalysis Statistical shape analysis Shape analysis Functional dataanalysis Decision tree learning Tree structured dataanalysis Formal concept analysis Algebraic dataanalysis See also DataanalysisAnalysis of categorical data Dimension reduction Group method of data handling Exploratorydataanalysis nofootnotes date March 2011 References references cite book author Brigitte Le Roux, Henry Rouanet title Geometric DataAnalysis from Correspondence Analysis to Structured DataAnalysis publisher Springer year 2004 id ISBN 978 1402022357 Carlsson, G. 2009 http www.ams.org bull 2009 46 02 S0273 0979 09 01249 X S0273 0979 09 01249 X.pdf Topology and Data , Bulletin New Series of the American Mathematical Society , 46 2 , 255 308 cite book author Lawrence J. Hubert, Phipps Arabie, Jacqueline Meulman title Combinatorial DataAnalysis Optimization by Dynamic Programming publisher SIAM year 2001 id ISBN 978 0898714784 cite book author James O. Ramsay, B. W. Silverman title Functional dataanalysis publisher Springer year 2005 id ISBN 9780387400808 Leland Wilkinson, 1992 http bus.utk.edu stat DataMining Tree 20Structured 20Data 20Analysis 20 SPSS .pdf Tree Structured DataAnalysis AID, CHAID and CART Category Dataanalysis Category Statistical methods Category Structure statistics stub ... more details
Structured dataanalysis may refer to Structured dataanalysis statistics &ndash the search for structure in a dataset Structured dataanalysis systems analysis &ndash a project management technique disambig ... more details
Geometric dataanalysis can refer to geometry geometric aspects of image analysis , pattern analysis and shape analysis or the approach of multivariate statistics that treats arbitrary data sets as clouds of points in n dimensional space. This includes topological dataanalysis , cluster analysis , inductive dataanalysis , correspondence analysis , multiple correspondence analysis and principal components analysis . See also Combinatorial dataanalysis Structured dataanalysis statistics Algebraic statistics for algebraic geometry in statistics References cite book author Brigitte Le Roux, Henry Rouanet title Geometric DataAnalysis from Correspondence Analysis to Structured DataAnalysis publisher Springer year 2004 id ISBN 978 1402022357 cite book author Michael J. Greenacre, J rg Blasius title Multiple Correspondence Analysis and Related Methods publisher CRC press year 2006 id ISBN 978 1584886280 http math.u bourgogne.fr IMB chazal Intrinsic distances.pdf Approximation of Geodesic Distances for Geometric DataAnalysis Differential geometry and dataanalysis http www.amazon.com Differential Geometry Statistics Monographs Probability dp 0412398605 Differential Geometry and Statistics , M.K. Murray, J.W. Rice, Chapman and Hall CRC, ISBN 978 0412398605 http books.google.com books?id wvaH1QxyBFoC Ridges in image and dataanalysis , David Eberly, Springer, 1996, ISBN 9780792342687 Category Geometry Category Dataanalysis sv Geometrisk dataanalys ... more details
Orphan date February 2009 unreferenced date November 2007 Social dataanalysis is a style of analysis in which people work in a social, collaborative context to make sense of data. Introduction On a Social DataAnalysis system or network, users store data sets and create visual representations. The datasets and visualisations graphs are accessible to other users of the network or website. Users can create new and interesting visualisations graphs as well as associated commentary from the same data sets. The discussion mechanisms often use frameworks such as a blog s and wiki s to drive this social exploration Collaborative intelligence . This is a new slant on business intelligence where social exploration of data can lead to serious analysis and important insight that the initiating user did not envisage explore for whatever reason . See also DataAnalysis Business intelligence Collaborative intelligence External links http researchweb.watson.ibm.com visual social dataanalysis workshop Social DataAnalysis Workshop at CHI 2008 http csdl2.computer.org persagen DLAbsToc.jsp?resourcePath dl trans tg &toc comp trans tg 2006 04 v4toc.xml&DOI 10.1109 TVCG.2006.65 Designing for Social DataAnalysis Category Visualization graphic Category Collective intelligence Category Internet terminology ... more details
Combinatorial dataanalysis CDA is the study of data sets where the arrangement of objects is important. CDA can be used either to determine how well a given combinatorial construct reflects the observed data, or to search for a suitable combinatorial construct that does fit the data. See also Cluster analysis Geometric dataanalysis Structured dataanalysis statistics References cite book author Lawrence J. Hubert title Assignment Methods in Combinatorial DataAnalysis publisher Marcel Dekker year 1987 id ISBN 978 0824776176 cite book author Lawrence J. Hubert, Phipps Arabie, Jacqueline Meulman title Combinatorial DataAnalysis Optimization by Dynamic Programming publisher SIAM year 2001 id ISBN 978 0898714784 cite book author Michael J Brusco, Stephanie Stahl title Branch and bound Applications in Combinatorial DataAnalysis publisher Springer year 2005 id ISBN 978 0387250373 statistics stub Category Combinatorics Category Dataanalysis Category Mathematical optimization ca An lisi combinat ria de dades ... more details
Functional dataanalysis is a branch of statistics that analyzes data providing information about curves, surfaces or anything else varying over a continuum. The continuum is often time, but may also be spatial location, wavelength, probability, etc. The data may be so accurate that error can be ignored, may be subject to substantial measurement error , or even have a complex indirect relationship to the curve that they define. For example, measurements of the heights of children over a wide range of ages have an error level so small as to be ignorable for many purposes, but daily records of Precipitation meteorology precipitation at a weather station are so variable as to require careful and sophisticated analyses in order to extract something like a mean precipitation curve. However these curves are Estimation theory estimated , it is the assumption that they are intrinsically smooth that often defines a functional dataanalysis. In particular, functional data analyses often make use ... role in functional dataanalysis. Models for functional data and methods for their analysis may resemble those for conventional multivariate data, including linear and nonlinear regression model s, principal components analysis , and many others. But the possibility of using derivative information ... defined by differential equation s, often called dynamical systems . See also Dataanalysis Functional analysis Further reading Ramsay, J. O. and Bernard Silverman Silverman, B.W. 2002 Applied functional dataanalysis methods and case studies , Springer series in statistics, New York London Springer, ISBN 0 387 95414 7 Ramsay, J. O. and Bernard Silverman Silverman, B.W. 2005 Functional dataanalysis , 2nd ed., New York Springer, ISBN 0 387 40080 X Category Statistical data types Category Dataanalysis fa ... of first derivative values, may reveal important aspects of the processes generating the data. As a consequence ... more details
Climate dataanalysis tool plotting software used in atmospheric sciences and climatology. The Climate DataAnalysis Tool CDAT is a software used in atmospheric sciences and climatology to display meteorological fields such as pressure, temperature, or wind speeds. It allows to read gridded meteorological data in different formats such as netCDF or GRIB and plot time series of displays from several identical datasets with differing times. It is similar in scope to Grid Analysis and Display System but with more extensive user interface and capabilities. External links http www pcmdi.llnl.gov software portal cdat Category Earth sciences graphics software ... more details
Image Ferret program.png thumb 350px Typical view of the Ferret program Ferret is an interactive computer Visualization computer graphics visualization and analysis environment designed to meet the needs of oceanographer s and meteorologist s analyzing large and complex gridded data sets. Ferret offers a Mathematica like approach to analysis new variables may be defined interactively as mathematical expressions involving data set variables. Calculations may be applied over arbitrarily shaped regions. Fully documented graphics are produced with a single command. It runs on most Unix and Linux systems using X Window for display, and on Microsoft Windows Windows XP NT 9x. External links http ferret.pmel.noaa.gov Ferret Ferret official site Category Meteorological data and networks Category Earth sciences graphics software climate stub ru Ferret DEFAULTSORT Ferret Data Visualization And Analysis ... more details
Proposed deletion dated concern effectively no useful content & no references timestamp 20110405143415 Multiple issues context January 2011 notable January 2011 orphan January 2011 unreferenced September 2009 Oversampling and undersampling in data analysis are techniques used to adjust the class distribution of a data set i.e. the ratio between the different classes categories represented . Oversampling and undersampling are opposite and roughly equivalent techniques. They both involve using a bias to select more samples from one class than from another. See also Oversampling Category Data analysis Category Lean concepts ro Suprae antionarea i sube antionarea n analiza datelor ... more details
italictitle Infobox Journal cover File AADA.jpg 150 px discipline interdisciplinarity interdisciplinary abbreviation AADA editor N. E. Huang, T. Y. Hou publisher World Scientific history 2009 present frequency Quarterly country Singapore website http www.worldscinet.com aada aada.shtml link1 http www.worldscinet.com aada mkt archive.shtml link1 name Online access RSS http www.worldscinet.com aada aada.rss ISSN 1793 5369 eISSN 1793 7175 Advances in Adaptive Data Analysis AADA is an interdisciplinary scientific journal published by World Scientific . It reports developments in data analysis methodology and their practical applications, with special emphasis on adaptive approaches. ref http www.worldscinet.com aada mkt aims scope.shtml AADA Aims & Scope ref The journal seeks to transform data analysis into a competent tool for scientific research and engineering applications, and to distinguish it from mere data processing. Unlike data processing, which relies on established procedures and parameters, data analysis encompasses in depth study in order to extract physical understanding. A further distinction the journal makes is the need to modify data analysis methodology thus, adaptive to accommodate the complexity of scientific phenomena. The journal mainly features original research, but occasionally publishes surveys, reviews, and proceedings for special conferences. It is indexed by Inspec . References Reflist DEFAULTSORT Advances In Adaptive Data Analysis Category Publications established in 2009 Category World Scientific academic journals Category Quarterly journals Category English language journals ... more details
. Interactive Data Visualization using Mondrian , in Journal of Statistical Software 7 11 1&ndash 9. Theus, M. and Urbanek, S. 2008 . Interactive Graphics for DataAnalysis Principles and Examples Computer Science and DataAnalysis , Chapman & Hall CRC. See also Data visualization GGobi External links http www.rosuda.org Mondrian Mondrian Graphical DataAnalysis Software http www.interactivegraphics.org Homepage for the book Interactive Graphics for DataAnalysis Principles and Examples the book ... y by x. Mondrian works with data in standard tab delimited or comma separated ASCII files and can load data from R workspaces. There is basic support for working directly on data in databases ... estimation , scatterplot smoother s, multidimensional scaling MDS and principal component analysis ... for categorical data and enhanced selection techniques. Over the years, a complete suite of visualizations for univariate and multivariate data measured on any scale were added. The link to R offers ..., even geographical data is supported with highly interactive maps. Mondrian details Supported data ... from Microsoft Excel as .txt . If the Rserve link and R are present, Mondrian also reads data ... more details
Topological dataanalysis is a new area of study aimed at having applications in areas such as data mining ... projections in the fields of computer graphics and statistics . Topological dataanalysis is needed ... ref See also Dimensionality reduction Data mining Computer vision Computational topology Digital topology Digital Morse theory Shape analysis Size theory Structured dataanalysis statistics References ... http books.google.com books?id 88lCsF dmIkC Topological Methods in DataAnalysis and Visualization ... Tierny, Springer, 2010, ISBN 9783642150135 Category Computational topology Category Dataanalysis ... when converting discrete data into continuous images. E.g. dot matrix printers and televisions communicate images via arrays of discrete points. The main method used by topological dataanalysis is Replace a set of data points with a family of simplicial complex es, indexed by a proximity parameter ... homology . Encode the persistent homology of a data set in the form of a parameterized version of a Betti number which will be called a barcode . Point cloud dataData is often represented as points in a Euclidean space Euclidean n dimensional space E sub n sub . The global shape of the data may provide information about the phenomena that the data represent. One type of data set for which global features are certainly present is the so called point cloud data coming from physical objects ... be used in a computer representation of the object. Point cloud data refers to any collection of points ... in the geometric data clustering ref C. T. Zahn 1971 http web.cse.msu.edu cse802 Papers zahn.pdf ... , pp. 68 86, Vol. 20, No. 1 ref . If a group of data points forms a cluster, then the geometry ... S0273 0979 07 01191 3.pdf BARCODES THE PERSISTENT TOPOLOGY OF DATA http www.bangor.ac.uk mas013 TDA TDA.html Topological DataAnalysis the algebraic topology of point data clouds? cite book author Sanjay Rana title http books.google.com books?id bfPWmkohAQoC Topological Data Structures for Surfaces ... more details
Data flow analysis is a technique for gathering information about the possible set of values calculated ... example of a data flow analysis is reaching definitions . A simple way to perform data flow analysis of programs is to set up data flow equations for each node computer science node of the control ... are used , defined in the program. Data flow analysis attempts to obtain particular information at each ... type of data flow analysis has its own specific transfer function and join operation. Some data flow problems require backward flow analysis. This follows the same plan, except that the transfer ... equations are used for forward or backward data flow analysis over the CFG. Intuitively, in a forward ... of computer programs that can be calculated by data flow analysis. Note that the properties calculated by data flow analysis are typically only approximations of the real properties. This is because data flow analysis operates on the syntactical structure of the CFG without simulating the exact control flow of the program. However, to be still useful in practice, a data flow analysis algorithm ... analysis that does not require the explicit construction of a data flow graph, ref cite journal last Mohnen first Markus year 2002 title A Graph Free Approach to Data Flow Analysis journal Lecture ... b and not kill b or gen b Sensitivities Data flow analysis is inherently flow sensitive. Data flow analysis is typically path insensitive, though it is possible to define data flow equations that yield ... Khedker, Uday P. Sanyal, Amitabha Karkare, Bageshri. Data Flow Analysis Theory and Practice , CRC Press Taylor and Francis Group . 2009 Category Data flow analysis de Datenflussanalyse ja sk ... flow analysis, the exit state of a block is a function of the block s entry state. This function ... of the exit states of its predecessors. This yields a set of data flow equations For each ... role Since it has no predecessors, its entry state is well defined at the start of the analysis ... more details
a government authority can choose Data Envelope Analysis as their measuring tool to design an individualized ... Data Envelopment Analysis DEA has been recognized as a valuable analytical research instrument ... in Data Envelopment Analysis, Management Science vol. 30, pp. 1078 1092. Berg, S. 2010 . Water Utility ... , Kluwer Boston. Ramanathan, R. 2003 An Introduction to Data Envelopment Analysis A tool for Performance ... DEA Zone , A comprehensive website on Data Envelopment Analysis http dx.doi.org 10.1016 j.seps.2007.07.002 ... models with a free software. DEFAULTSORT Data Envelopment Analysis Category Operations research de Data Envelopment Analysis it Data Envelopment Analysis pt An lise por envolt ria de dados ru ... producer. Like Stochastic Frontier Analysis SFA , DEA identifies a Pareto efficiency Pareto ... by Seiford & Thrall 1990 . Techniques cleanup section date July 2009 Data envelopment analysis DEA is a linear programming methodology to measure the efficiency economics efficiency of multiple ... and outputs. DEA has been used for both production and cost data. Utilizing the selected variables ... to scale VRS . Assume that we have the following data Unit 1 produces 100 pieces of items per day ... Battese, An Introduction to Efficiency and Productivity Analysis, Springer, 2005. Banker, R.D. ... of research in efficiency and productivity A survey and analysis of the first 30 years of scholarly ... The Mathematical Programming Approach to Frontier Analysis, Journal of Econometrics vol. 46 pp. ... software http www.ewepa.org index.php , European Workshop on Efficiency and Productivity Analysis ... productivity WS analysis&parent 303 , Group on Efficiency and Productivity Analysis that is active within EURO http www.springerlink.com content 100296 , Journal of Productivity Analysis, Kluwer ... more details
The Data & Analysis Center for Software DACS is one of several United States Department of Defense DoD sponsored Information Analysis Centers IACs , administered by the Defense Technical Information Center ... Institute IITRI to design such a center, named, The Data and Analysis Center for Software DACS , that would ... Information Analysis Centers for Metals, Ceramics, Hardware Reliability, and Machineability data. ref cite book last Duvall first Lorraine M. coauthors Shirley A. Gloss Soler, Jon Martens title Data and Analysis Center for Software publisher Rome Air Development Center location Griffiss Air ... of its charter, DACS engages in a continuous cycle of data and information collection, analysis, and dissemination ... Boehm, Jo Ann Lane month August year 2007 publisher Data and Analysis Center for Software accessdate ..., warriors, and leaders. The ACE program was developed under a Data and Analysis Center for Software ... Data & Analysis Center for Software ref to provide new insights into the details necessary to demonstrate ... standard statistical analysis of the data. ref cite web url https www.thedacs.com databases roi title DACS ROI Dashboard publisher Data & Analysis Center for Software accessdate 2008 07 31 ref TEMS Initiative ... DEFAULTSORT Data & Analysis Center For Software Category Software engineering organizations Category ... in depth analysis services and creating products. IACs respond to technical inquiries prepare ... the need for data and information about computer software, its development process and the software ... for an information analysis center to serve the government, industrial, and university community as a focal point for software development and experience data, in August 1978 the Rome Air Development ... of special purpose information analysis centers and technology transfer programs were .... Provide scientific and technical information analysis services to DoD, Civil Agencies, government ... value added analysis in its synopsis and overview of a General Accountability Office GAO ... more details
Orphan date February 2009 dablink Disambiguation This article is about project management. For other uses see Structured data analysis . Structured data analysis SDA is a method for analysing the flow of information within an organization using data flow diagram s. It was originally developed by IBM for systems analysis in electronic data processing , although it has now been adapted for use to describe the flow of information in any kind of project or organization, particularly in the construction industry where the nodes could be departments, contractors, customers, managers, workers etc. See also Information management Data flow diagram Data modelling Structured Systems Analysis and Design Method Further reading http 146.87.15.57 CITE case studies it on a construction site Construction 20site 20information 20needs.pdf CONSTRUCTION SITE INFORMATION NEEDS cite book author Norman Fisher, Li Yin Shen, Shen L. Yin title Information Management in a Contractor A Model of the Flow of Project Data publisher Thomas Telford year 1992 id ISBN 978 0727716668 cite book author Institution of Civil Engineers title Applications of Information Technology in Construction publisher Thomas Telford year 1991 id ISBN 978 0727716538 Category Systems analysis Category Project management ... more details
Unreferenced date May 2007 Portal Astronomy The Space Telescope Science DataAnalysis System STSDAS is an IRAF based suite of astronomical software intended primarily for processing data from the Hubble Space Telescope . STSDAS is produced by Space Telescope Science Institute STScI . External links http www.stsci.edu resources software hardware stsdas STSDAS Home Page astronomy stub science software stub Category Free astronomy software Category Hubble Space Telescope ... more details
additional opportunities to commit fraud. Detecting Fraud Traditional ways of dataanalysis have been ... Palshikar 2002 . The first industries to use dataanalysis techniques to prevent fraud were ... implementation of dataanalysis techniques in the banking industry is the Falcon fraud assessment ... special methods of intelligent dataanalysis to detect and prevent it. These methods exists in the areas of Knowledge Discovery in Databases KDD , Data Mining, Machine Learning and Statistics. They offer ... 2002 . Examples of statistical dataanalysis techniques are Data preprocessing techniques for detection, validation, error correction, and filling up of missing or incorrect data. Calculation of various ... profiles. Time series analysis of time dependent data. Clustering and classification to find patterns and associations among groups of data. Matching algorithms to detect anomalies in the behavior .... Other techniques such as link analysis, Bayesian networks, decision theory, land sequence matching are also used for fraud detection Palshikar 2002 . Machine Learning and Data Mining Early dataanalysis techniques were oriented toward extracting quantitative and statistical data characteristics. These techniques facilitate useful data interpretations and can help to get better insights into the processes behind the data. Although the traditional dataanalysis techniques can indirectly lead us to knowledge, it is still created by human analysts Michalski et al. 1998 . To go beyond, a dataanalysis ... Categories DEFAULTSORT DataAnalysis Techniques For Fraud Detection Category Fraud ... television CCTV together with POS data of most susceptible transactions to fraud Weir 2001 . Internet ... include Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud. Expert ... reasoning tasks involving that knowledge and the data provided Michalski et al. 1998 . In effort ... more details
Computer Assisted Aided Qualitative DataAnalysiS CAQDAS is the use of computer software to aid qualitative research such as Transcription genetics transcription analysis, coding and text interpretation, recursive abstraction, content analysis , discourse analysis , Grounded theory grounded theory methodology , etc. CAQDAS is used in psychology , marketing research , ethnography , and other social sciences . The CAQDAS Networking project ref http caqdas.soc.surrey.ac.uk caqdasdefinition.html Surrey.co.uk ref lists the following tools a CAQDAS program should have Content searching tools Coding tools Linking tools Mapping or networking tools Query tools Writing and annotation tools Free open source software for CAQDAS includes Analysis Software for Word based Records http www.cdc.gov hiv topics surveillance resources software answr index.htm anSWR Coding Analysis Toolkit CAT Digital Replay System DRS RQDA TAMS Analyzer Weft QDA http storytelling.concordia.ca storiesmatter ?page id 871 Stories Matter http www.phmed.umu.se english divisions epidemiology research open code Open Code Proprietary software for CAQDAS includes A.nnotate http www.artificialmemory.net ArtificialMemory Semantic Wiki Atlas.ti Ethnograph HyperRESEARCH HyperTRANSCRIBE Kwalitan MAXQDA NVivo QDAMiner Qualrus Transana XSight Qiqqa Web Based CAQDAS software Dedoose ref http www.dedoose.com http www.dedoose.com ref Coding Analysis Toolkit CAT References references External links http psychology.wikia.com wiki Qualitative psychological research Statistical packages software listing on Psychology wikia http researchware.com ResearchWare developers of HyperRESEARCH QDA software http www.textanalysis.info Harald Klein s comprehensive guide to CAQDAS Category QDA software Category Research methods socio stub ... more details
, see Gwydion It is created for the analysis of height field s and other 2D image data. While it is primarily intended for data originating from scanning probe microscopy techniques like atomic force ... optical microscope SNOM NSOM , it may also be used for the analysis of profilometry data, for instance. Data is calculated and stored in the native file format code .gwy code in double precision ... December 2006 DEFAULTSORT Gwyddion Image DataAnalysis Program Category Free graphics software Category ... limitations on the types of physical quantities data and lateral dimensions can represent ... .gwy code supports saving all data specific settings false color palette, masks, presentations, selections, associated 3D view parameters, graphs associated with that data and their settings, etc. Gwyddion ... more details
Infobox Non profit Non profit name Human Rights DataAnalysis Group Non profit logo File Hrdag logo.gif Non profit type Non profit organization Non profit br Non governmental organisation NGO founded date 2002 tax id founder Patrick Ball location Palo Alto origins American Association for the Advancement of Science AAAS Science and Human Rights Program key people area served Global product mission to help local groups gather, organize and evaluate information on human rights abuses to further historical truth, clarification and reconciliation. focus Violations of civil and political rights method assisting human rights projects around the world use information management systems and rigorous scientific and statistical tools to gather and report large scale human rights abuses. revenue endowment num volunteers num employees num members subsid owner Benetech Non profit slogan homepage http www.hrdag.org dissolved footnotes The Human Rights DataAnalysis Group is an organization of researchers who apply statistical analysis to questions of fact relevant to human rights, usually estimates of the number of people killed in civil conflicts. They have published findings on conflicts in Kosovo, ref cite book last Ball first Patrick authorlink Patrick Ball title Policy or Panic? The Flight of Ethnic Albanians from Kosovo, March May 1999 publisher American Association for the Advancement of Science date 1999 url http shr.aaas.org kosovo policyorpanic ref Guatemala, ref cite journal doi 10.1177 0022002702046003005 last Davenport first Christian coauthors Patrick Ball title Views to a Kill Exploring the Implications of Source Selection in the Case of Guatemalan State Terror, 1977 1996 ... . History The Human Rights DataAnalysis Group was founded in September 2002 by Patrick Ball ... accessdate 2010 07 30 ref References Reflist External links http www.hrdag.org Human Rights DataAnalysis Group official site http www.martus.org Martus open source software for human rights abuse ... more details
Notability date April 2011 The Cooperative Association for Internet DataAnalysis CAIDA , IPAc en icon k e d is a collaborative undertaking among organizations in the commercial, government, and research sectors aimed at promoting greater cooperation in the engineering and maintenance of a robust, scalable global Internet infrastructure. CAIDA provides a neutral framework to support cooperative technical endeavors. It is based at the San Diego Supercomputer Center at the University of California, San Diego . CAIDA s goals are To encourage the creation of Internet traffic metrics, in collaboration with IETF IPPM and other organizations, and work with industry, consumer, regulatory, and other representatives to assure their utility and universal acceptance. To create a collaborative research and analytic environment in which various forms of traffic data can be acquired, analyzed, and, as appropriate, shared. Foster the development of advanced methodologies and techniques for traffic performance and flow characterization, simulation, analysis, and visualization. Specific areas of future impact include real time routing instability diagnosis and evolution for next generation measurement and routing protocols multicast and unicast . Their most easily recognized graphic is their skitter chart. ref http www.caida.org research topology as core network Visualizing Internet Topology at a Macroscopic Scale ref References references External links Official website http www.caida.org http natural.optomatica.com mpasm default.html M PASM Multiple Perspectives of Autonomous System Mapping compu network stub Category Computer network organizations ... more details
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