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Advances In Data Mining Knowledge Discovery And Applications


Advances In Data Mining Knowledge Discovery And Applications
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Advances In Data Mining Knowledge Discovery And Applications


Advances In Data Mining Knowledge Discovery And Applications
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Author : Adem Karahoca
language : en
Publisher: IntechOpen
Release Date : 2012-09-12

Advances In Data Mining Knowledge Discovery And Applications written by Adem Karahoca and has been published by IntechOpen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-12 with Computers categories.


Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications.



Recent Advances In Data Mining Of Enterprise Data


Recent Advances In Data Mining Of Enterprise Data
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Author : T. Warren Liao
language : en
Publisher: World Scientific
Release Date : 2008-01-15

Recent Advances In Data Mining Of Enterprise Data written by T. Warren Liao and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-15 with Business & Economics categories.


The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as OC enterprise dataOCO. The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making. Sample Chapter(s). Foreword (37 KB). Chapter 1: Enterprise Data Mining: A Review and Research Directions (655 KB). Contents: Enterprise Data Mining: A Review and Research Directions (T W Liao); Application and Comparison of Classification Techniques in Controlling Credit Risk (L Yu et al.); Predictive Classification with Imbalanced Enterprise Data (S Daskalaki et al.); Data Mining Applications of Process Platform Formation for High Variety Production (J Jiao & L Zhang); Multivariate Control Charts from a Data Mining Perspective (G C Porzio & G Ragozini); Maintenance Planning Using Enterprise Data Mining (L P Khoo et al.); Mining Images of Cell-Based Assays (P Perner); Support Vector Machines and Applications (T B Trafalis & O O Oladunni); A Survey of Manifold-Based Learning Methods (X Huo et al.); and other papers. Readership: Graduate students in engineering, computer science, and business schools; researchers and practioners of data mining with emphazis of enterprise data mining."



Advances In Knowledge Discovery And Data Mining


Advances In Knowledge Discovery And Data Mining
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Author : Zhi-Hua Zhou
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-27

Advances In Knowledge Discovery And Data Mining written by Zhi-Hua Zhou 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 2007-04-27 with Computers categories.


This book constitutes the refereed proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China, May 2007. It covers new ideas, original research results and practical development experiences from all KDD-related areas including data mining, machine learning, data warehousing, data visualization, automatic scientific discovery, knowledge acquisition and knowledge-based systems.



Advanced Data Mining And Applications


Advanced Data Mining And Applications
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Author : Reda Alhajj
language : en
Publisher: Springer
Release Date : 2007-08-14

Advanced Data Mining And Applications written by Reda Alhajj and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-14 with Computers categories.


This book constitutes the refereed proceedings of the Third International Conference on Advanced Data Mining and Applications, ADMA 2007, held in Harbin, China in August 2007. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining.



Advanced Data Mining And Applications


Advanced Data Mining And Applications
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Author : Jie Tang
language : en
Publisher: Springer
Release Date : 2011-12-15

Advanced Data Mining And Applications written by Jie Tang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-15 with Computers categories.


The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.



Advanced Data Mining And Applications


Advanced Data Mining And Applications
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Author : Longbing Cao
language : en
Publisher: Springer
Release Date : 2010-11-18

Advanced Data Mining And Applications written by Longbing Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-18 with Computers categories.


With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects ofdata and to help peoplemakeinformed,sensible,and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining ?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.



Advanced Data Mining And Applications


Advanced Data Mining And Applications
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Author : Xudong Luo
language : en
Publisher: Springer
Release Date : 2014-12-17

Advanced Data Mining And Applications written by Xudong Luo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-17 with Computers categories.


This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.



Advanced Data Mining And Applications


Advanced Data Mining And Applications
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Author : Xue Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-07-12

Advanced Data Mining And Applications written by Xue Li 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 2005-07-12 with Business & Economics categories.


This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.



Advances In Data Mining


Advances In Data Mining
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Author : Petra Perner
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-08-21

Advances In Data Mining written by Petra Perner 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 2002-08-21 with Business & Economics categories.


This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining. Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza.



Advanced Data Mining And Applications


Advanced Data Mining And Applications
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Author : Guojun Gan
language : en
Publisher: Springer
Release Date : 2018-12-28

Advanced Data Mining And Applications written by Guojun Gan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Computers categories.


This book constitutes the refereed proceedings of the 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, held in Nanjing, China in November 2018. The 23 full and 22 short papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers were organized in topical sections named: Data Mining Foundations; Big Data; Text and Multimedia Mining; Miscellaneous Topics.