Supervised Descriptive Pattern Mining
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Supervised Descriptive Pattern Mining
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Author : Sebastián Ventura
language : en
Publisher: Springer
Release Date : 2018-10-05
Supervised Descriptive Pattern Mining written by Sebastián Ventura and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-05 with Computers categories.
This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field. A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described. Last but not least, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features). This book targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook.
Data Mining Multi Attribute Decision System Facilitating Decision Support Through Data Mining Technique By Hierarchical Multi Attribute Decision Models
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Author : Pankaj Pathak
language : en
Publisher: GRIN Verlag
Release Date : 2020-11-09
Data Mining Multi Attribute Decision System Facilitating Decision Support Through Data Mining Technique By Hierarchical Multi Attribute Decision Models written by Pankaj Pathak and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-09 with Computers categories.
Doctoral Thesis / Dissertation from the year 2020 in the subject Computer Science - Commercial Information Technology, Symbiosis International University, language: English, abstract: Data mining is coined one of the steps while discovering insights from large amounts of data which may be stored in databases, data warehouses, or in other information repositories. Data mining is now playing a significant role in seeking a decision support to draw higher profits by the modern business world. Various researchers studied the benefits of data mining processes and its adoption by business organizations, but very few of them have discussed the success factors of decision support projects. The Research Hypothesis states the involvement of the decision tree while adopting accuracy of classification and while emphasizing the impact factor or importance of the attributes rather than the information gain. The concept of involvement of impact factor rather than just accuracy can be utilized in developing the new algorithm whose performance improves over the existing algorithms. We proposed a new algorithm which improves accuracy and contributing effectively in decision tree learning. We presented an algorithm that resolves the above stated problem of confliction of class. We have introduced the impact factor and classified impact factor to resolve the conflict situation. We have used data mining technique in facilitating the decision support with improved performance over its existing companion. We have also addressed the unique problem which have not been addressed before. Definitely, the fusion of data mining and decision support can contribute to problem-solving by enabling the vast hidden knowledge from data and knowledge received from experts. We have discussed a lot of work done in the field of decision support and hierarchical multi-attribute decision models. Ample amount of algorithms are available which are used to classify the data in datasets. Most algorithms use the concept of information gain for classification purpose. Some Lacking areas also exist. There is a need for an ideal algorithm for large datasets. There is a need for handling the missing values. There is a need for removing attribute bias towards choosing a random class when a conflict occurs. There is a need for decision support model which takes the advantages of hierarchical multi-attribute classification algorithms.
Proceedings Of The Seventh Siam International Conference On Data Mining
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Author : Chid Apte
language : en
Publisher: Society for Industrial and Applied Mathematics (SIAM)
Release Date : 2007
Proceedings Of The Seventh Siam International Conference On Data Mining written by Chid Apte and has been published by Society for Industrial and Applied Mathematics (SIAM) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
The Seventh SIAM International Conference on Data Mining (SDM 2007) continues a series of conferences whose focus is the theory and application of data mining to complex datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our abilities to analyze them because they are large and often noisy. Sophisticated, highperformance, and principled analysis techniques and algorithms, based on sound statistical foundations, are required. Visualization is often critically important; tuning for performance is a significant challenge; and the appropriate levels of abstraction to allow end-users to exploit sophisticated techniques and understand clearly both the constraints and interpretation of results are still something of an open question.
High Performance Parallel Database Processing And Grid Databases
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Author : David Taniar
language : en
Publisher: John Wiley & Sons
Release Date : 2008-10-13
High Performance Parallel Database Processing And Grid Databases written by David Taniar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-13 with Computers categories.
The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.
Next Generation Of Data Mining Applications
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Author : Mehmed Kantardzic
language : en
Publisher: Wiley-IEEE Press
Release Date : 2005-03-08
Next Generation Of Data Mining Applications written by Mehmed Kantardzic and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-08 with Computers categories.
Discover the next generation of data-mining tools and technology This book brings together an international team of eighty experts to present readers with the next generation of data-mining applications. Unlike other publications that take a strictly academic and theoretical approach, this book features authors who have successfully developed data-mining solutions for a variety of customer types. Presenting their state-of-the-art methodologies and techniques, the authors show readers how they can analyze enormous quantities of data and make new discoveries by connecting key pieces of data that may be spread across several different databases and file servers. The latest data-mining techniques that will revolutionize research across a wide variety of fields including business, science, healthcare, and industry are all presented. Organized by application, the twenty-five chapters cover applications in: Industry and business Science and engineering Bioinformatics and biotechnology Medicine and pharmaceuticals Web and text-mining Security New trends in data-mining technology And much more . . . Readers from a variety of disciplines will learn how the next generation of data-mining applications can radically enhance their ability to analyze data and open the doors to new opportunities. Readers will discover: New data-mining tools to automate the evaluation and qualification of sales opportunities The latest tools needed for gene mapping and proteomic data analysis Sophisticated techniques that can be engaged in crime fighting and prevention With its coverage of the most advanced applications, Next Generation of Data-Mining Applications is essential reading for all researchers working in data mining or who are tasked with making sense of an ever-growing quantity of data. The publication also serves as an excellent textbook for upper-level undergraduate and graduate courses in computer science, information management, and statistics.
Concepts And Techniques Of Geographic Information Systems
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Author : Chor Pang Lo
language : en
Publisher: Prentice Hall
Release Date : 2007
Concepts And Techniques Of Geographic Information Systems written by Chor Pang Lo and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Science categories.
Fully updated to reflect advances in GIS concepts and techniques, this guide approaches the subject from the broader context of information technology. Gives complete, up-to-date coverage to the concepts and techniques pertaining to every stage of the systems development life cycle of GIS, as well as its applications to various areas of spatial problem solving and decision making. For GIS specialists, GIS technologists, GIS sales directors, urban planners, natural resource managers, land surveyors, geomatics engineers, and foresters who want a complete understanding of GIS and how GIS applies to their fields of interest.
Data Mining
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Author : Hussein A. Abbass
language : en
Publisher: IGI Global
Release Date : 2002
Data Mining written by Hussein A. Abbass and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Contains 13 contributions, arranged under the headings General heuristics, Evolutionary algorithms, Genetic programming, Ant colony optimization and immune systems, and Parallel data mining.
Legislative Document
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Author : New York (State). Legislature
language : en
Publisher:
Release Date : 1926
Legislative Document written by New York (State). Legislature and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1926 with New York (State) categories.
Annual Meeting Of The North American Fuzzy Information Processing Society Nafips
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Author : North American Fuzzy Information Processing Society. Annual Meeting
language : en
Publisher:
Release Date : 2004
Annual Meeting Of The North American Fuzzy Information Processing Society Nafips written by North American Fuzzy Information Processing Society. Annual Meeting and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Fuzzy systems categories.
2002 Ieee International Conference On Data Mining
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Author : Vipin Kumar
language : en
Publisher: IEEE Computer Society Press
Release Date : 2002
2002 Ieee International Conference On Data Mining written by Vipin Kumar and has been published by IEEE Computer Society Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Consists of 72 full papers and 49 short papers from the December 2002 conference on the design, analysis, and implementation of data mining theory, systems, and applications. Topics of the full papers include evolutionary time series segmentation for stock data mining, cluster merging and splitting