Emerging Technologies In Knowledge Discovery And Data Mining
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Emerging Technologies In Knowledge Discovery And Data Mining
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Author : Takashi Washio
language : en
Publisher: Springer
Release Date : 2007-11-27
Emerging Technologies In Knowledge Discovery And Data Mining written by Takashi Washio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-27 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.
Emerging Technologies In Knowledge Discovery And Data Mining
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Author : Takashi Washio
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-14
Emerging Technologies In Knowledge Discovery And Data Mining written by Takashi Washio and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-14 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.
Next Generation Of Data Mining
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Author : Hillol Kargupta
language : en
Publisher: CRC Press
Release Date : 2008-12-24
Next Generation Of Data Mining written by Hillol Kargupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-24 with Computers categories.
Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field. Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms. The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.
Intelligent Technologies For Information Analysis
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Author : Ning Zhong
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Intelligent Technologies For Information Analysis written by Ning Zhong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.
Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.
Knowledge Mining Using Intelligent Agents
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Author : Satchidananda Dehuri
language : en
Publisher: World Scientific
Release Date : 2011
Knowledge Mining Using Intelligent Agents written by Satchidananda Dehuri and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business & Economics categories.
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.
Knowledge Discovery Practices And Emerging Applications Of Data Mining Trends And New Domains
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Author : Kumar, A.V. Senthil
language : en
Publisher: IGI Global
Release Date : 2010-08-31
Knowledge Discovery Practices And Emerging Applications Of Data Mining Trends And New Domains written by Kumar, A.V. Senthil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-31 with Computers categories.
Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.
Research And Trends In Data Mining Technologies And Applications
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Author : Taniar, David
language : en
Publisher: IGI Global
Release Date : 2006-10-31
Research And Trends In Data Mining Technologies And Applications written by Taniar, David and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-31 with Computers categories.
Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.
Data Mining
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-05
Data Mining written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Computers categories.
What Is Data Mining Data mining is the process of extracting and detecting patterns in huge data sets by utilizing approaches that lie at the confluence of machine learning, statistical analysis, and database management systems. Data mining is an interdisciplinary subject of computer science and statistics with the overarching goal of extracting information from a data set and translating the information into a structure that is understandable for the sake of subsequent application. The "knowledge discovery in databases" (also known as "KDD") method includes an analysis step that is known as "data mining." In addition to the phase of raw analysis, it also includes aspects of database management and data management, data pre-processing, model and inference considerations, interestingness measures, complexity considerations, post-processing of newly discovered structures, visualization, and online updating. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Data mining Chapter 2: Machine learning Chapter 3: Text mining Chapter 4: Association rule learning Chapter 5: Concept drift Chapter 6: Weka (software) Chapter 7: Special Interest Group on Knowledge Discovery and Data Mining Chapter 8: Educational data mining Chapter 9: Social media mining Chapter 10: Outline of machine learning (II) Answering the public top questions about data mining. (III) Real world examples for the usage of data mining in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of data mining' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of data mining.
Computational Life Sciences
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Author : Jens Dörpinghaus
language : en
Publisher: Springer Nature
Release Date : 2023-03-04
Computational Life Sciences written by Jens Dörpinghaus and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-04 with Computers categories.
This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.
Advances In Knowledge Discovery And Data Mining
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Author : Honghua Dai
language : en
Publisher: Springer
Release Date : 2004-04-22
Advances In Knowledge Discovery And Data Mining written by Honghua Dai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-22 with Computers categories.
ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. This year, the eighth in the series (PAKDD 2004) was held at Carlton Crest Hotel, Sydney, Australia, 26–28 May 2004. PAKDD is a leading international conference in the area of data mining. It p- vides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scienti?c discovery, data visualization, causal induction, and knowledge-based systems. The selection process this year was extremely competitive. We received 238 researchpapersfrom23countries,whichisthehighestinthehistoryofPAKDD, and re?ects the recognition of and interest in this conference. Each submitted research paper was reviewed by three members of the program committee. F- lowing this independent review, there were discussions among the reviewers, and when necessary, additional reviews from other experts were requested. A total of 50 papers were selected as full papers (21%), and another 31 were selected as short papers (13%), yielding a combined acceptance rate of approximately 34%. The conference accommodated both research papers presenting original - vestigation results and industrial papers reporting real data mining applications andsystemdevelopmentexperience.Theconferencealsoincludedthreetutorials on key technologies of knowledge discovery and data mining, and one workshop focusing on speci?c new challenges and emerging issues of knowledge discovery anddatamining.ThePAKDD2004programwasfurtherenhancedwithkeynote speeches by two outstanding researchers in the area of knowledge discovery and data mining: Philip Yu, Manager of Software Tools and Techniques, IBM T.J.