data mining in software testing
MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0
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Next Section.ABSTRACT We announce the release of the fourth version of MEGA software, which expands on the existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment
Data mining static code attributes to learn defect predictors
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When budget does not allow for complete testing of an entire system, software managers can use can then be examined in more detail by, say, model checking, intensive testing, etc. The baseline definition draws from standard practices in the data mining community [23], [24].
Data mining for software engineering
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Processes include various develop- ment phases and activities such as requirements, design, implementation, testing, debugging, maintenance, and To improve both software productivity and quality, software engineers are increasingly applying data mining algorithms to
Yale: Rapid prototyping for complex data mining tasks
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XML-based experiment storage format can be seen as a language to model data mining processes
GeneMerge-post-genomic analysis, data mining, and hypothesis testing
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perspective. Simple and flexible software that can take advantage of diverse genomic and proteomic data for both data mining and hypothesis testing is required. A great deal of genomic and proteomic information is available.
A survey of data mining and knowledge discovery software tools
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Statistical Methods: Historically, statistical work has focused mainly on testing of preconceived is answered by an extending availability of knowledge discovery and data mining products, in research prototypes developed at various universities as well as software products from
KEEL: a software tool to assess evolutionary algorithms for data mining problems
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It incorporates external packages to per- form image and text mining. It covers several ML schemes, data preparation and experimental analysis. - Weka (Witten and Frank 2005): Weka is the most well- known software tool to perform ML and DM tasks.
Data Mining: Practical machine learning tools and techniques
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redibility: Evaluating what's been learned 143 144 146 Training and testing Predicting performance 149 151 151 152 Comparing data mining methods 157 158 159 Cross-validation Other estimates Leave-one
A grammar-guided genetic programming framework configured for data mining and software testing
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Genetic Programming (GP) is a powerful software induction technique that can be applied to solve a wide variety of problems. However, most researchers develop tailor-made GP tools for solving specific problems. These tools generally require significant modifications in
The handbook of data mining
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Data Mining in Earth Sciences Data Mining in Medical Imaging Data Mining in Nondestructive Testing Data Mining in Security Registration De-Noising Data Object Identification Dimensionality Reduction Generating a Good Training Set Software for Scientific Data Mining
MEGA3: integrated software for molecular evolutionary genetics analysis and sequence alignment
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effort has been to produce Molecular Evolutionary Genetics Analysis (MEGA) software, with its facilities for automatic and manual sequence alignment, web-based mining of databases the statistical methods, computational tools, and visual exploration modules for data input and
DynaMine: finding common error patterns by mining software revision histories
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Testing and Debug- ging] Tracing; D.2.7 [Distribution, Maintenance, and Enhance- ment] Version control; H.2.8 [Database Applications] Data mining General Terms: Management, Measurement, Reliability Keywords: Error patterns, coding patterns, software bugs, data mining,
Using data mining for automated software testing
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In today's software industry, the design of test cases is mostly based on human expertise, while test automation tools are limited to execution of pre-planned tests only. Evaluation of test outcomes is also associated with a considerable effort by human testers who often
Testing: a roadmap
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Additional research in this area can also provide new techniques that use testing artifacts for software engi- neering tasks. We also need techniques that will find important relation- ships that exist in the software. Techniques such as data mining may help with this task.
xml based data mining research papers
Extraction of semantic XML DTDs from texts using data mining techniques
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ABSTRACT Although composed of unstructured texts, documents contained in textual archives such as public announcements, patient records and annual reports to shareholders often share an inherent though undocumented structure. In order to facilitate efficient, structure-
Towards Data Mining Services on the Internet with a Multiple Service Provider Model: An XMLBased Approach.
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ABSTRACT The emergence of Application Service Providers hosting Internet-based data mining services is being seen as a viable alternative for organisations that value their knowledge resources but are constrained by the high cost of data mining software. In this
Association Rule Mining from XML Data.
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ABSTRACT With the growing usage of XML in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semistructured data, there is an imminent need for tools and techniques to perform data mining on XML documents and XML
Knowledge integration in a Parallel and distributed environment with association rule miningusing XML data
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Summary In distributed data mining, the mining process is carried out in distributed locations parallel and generates frequent itemsets on the local areas. It is necessary to analyze these local patterns to gain global patterns when putting all the knowledge derived from local
XML-based visual data mining in medicine
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ABSTRACT Medical databases in general are characterized by a high degree of complexity in terms of quantity of items, number of parameter values and data types (free text, categorical, numerical and other). Substantial domain knowledge is required for adequate
Towards Data Quality and Data Mining Using Constraints in XML
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ABSTRACT Quality data is necessary for different data mining techniques and reversely, data mining techniques can be utilized to measure quality of data. Data mining and data quality issues got much attention for relational data in past. But, as a massive amount of data is
Web data mining Using XML and Agent Framework
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Summary The World Wide Web is one of the fastest growing areas of intelligence gathering. Currently many websites are built with HTML tags, one problem associated with retrieval of data from web documents of HTML is that they are not structured in traditional databases
XML Tree Finder System: a First Step towards XML Data Mining Final Report
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ABSTRACT The problem of searching frequent trees from a collection of tree-structured XML data modeling is considered. The aim of this XML Tree Finder system (XTFS) is to find the tree whose exact or perturbed copies are frequent in a collection of the labeled trees. The
An XML Specification Language to Support a Virtual Marketplace of Data Mining E-Services.
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ABSTRACT The emergence of Application Service Providers (ASP) hosting Internet-based data mining services is being seen as a viable alternative for organisations that value their knowledge resources but are constrained by the high cost of data mining software. The
Application of Tree-structured Data Mining for Analysis of Process Logs in XML format
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DB Bui, F Hadzic, M Hecker ,crpit.com ABSTRACT Process logs are increasingly being represented using XML based templates such as MXML and XES. Popular XML data mining techniques have had limited application to directly mine such data. The majority of work in the process mining field focuses on
Applying Data Mining and XML Technology to Build a Web-Based House Trading and Matching System
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CCCFFU CHU ABSTRACT Data mining has been widely applied in many fields. However, few applications at present apply it to house trading and matching. This paper is to present one of the techniques of data mining called the nearest neighbour algorithm as well as XML
Application of Web Mining with XML Data using XQuery
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R Ranjan, R Yadav, J Verma ABSTRACT In recent years XML has become very popular for representing semi structured data and a standard for data exchange over the web. Mining XML data from the web is becoming increasingly important. Several encouraging attempts at developing methods for mining
XML BASED INFORMATION MANAGEMENT IN HEALTHCARE, DATA MINING AND DISTRIBUTED SYSTEMS
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ABSTRACT XML Based Information Management is an emerging standard which has gain its popularity because of its various features like transfer of data from one system to another without having a common environment between them and also due to elimination of its
AN ENVIRONMENT FOR REPRESENTATION AND MANAGEMENT OF DATA MININGRESULTS AS XML DOCUMENTS
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TPP Padilha, LM Almeida, JBM Alves ,cin.ufpe.br ABSTRACT The employment of the eXtensible Markup Language (XML) has been increasing rapidly in several application domains. It has some powerful properties that make it a great candidate for representation and handling of different kinds of data. In this paper we will
Research of Web Data Mining Based on XML
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ABSTRACT With the broad use of internet, Web data mining has gradually become the focus of current research on data mining. At the same time, XML technology is becoming the actual standard for data-organizing and data-exchanging by and by in the new-generation
Mining Association Rules from XML Data Daniele Braga1, Alessandro Campi1, Mika Klemettinen2, and PierLuca Lanzi3 1 Politecnico di Milano, Dipartimento
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D Braga ,dbgroup.elet.polimi.it ABSTRACT The eXtensible Markup Language (XML) rapidly emerged as a standard for representing and exchanging information. The fastgrowing amount of available XML data sets a pressing need for languages and tools to manage collections of XML documents,
Mining Association Rules from XML Data Using a Vertical Format
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ABSTRACT XML documents are increasingly being used to store information for a variety of reasons. When XML documents are used to represent a market-basket database, often the description of the elements are embedded as attributes of the items being purchased. This
Efficient Data Mining for XML Queries–Answering Support
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GS Sekhar, SM Krishna ,sundaychennai.com ABSTRACT We describe an approach based on Tree-based Association Rules (TARs) mined rules, which provide approximate, intensional information on both the structure and the contents of XML documents and can be stored in XML format as well. There are two main
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