Emerging Trends In Knowledge Discovery And Data Mining

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Emerging Trends in Knowledge Discovery and Data Mining

Author : Takashi Washio,Jun Luo
Publisher : Springer
Page : 157 pages
File Size : 43,8 Mb
Release : 2013-02-13
Category : Computers
ISBN : 9783642367786

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Emerging Trends in Knowledge Discovery and Data Mining by Takashi Washio,Jun Luo Pdf

This book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust 2012), and the Second Doctoral Symposium on Data Mining (DSDM 2012); held in conjunction with the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), in Kuala Lumpur, Malaysia, May/June 2012. The 12 revised papers presented were carefully reviewed and selected from numerous submissions. DMHM 2012 aimed at providing a common platform for the discussion of challenging issues and potential techniques in this emerging field of data mining for health care management; 3Clust 2012 focused on solving emerging problems such as clustering ensembles, semi-supervised clustering, subspace/projective clustering, co-clustering, and multi-view clustering; GeoDoc 2012 highlighted the formalization of geospatial concepts and relationships with a focus on the extraction of geospatial relations in free text datasets to offer to the database community a unified framework for geodata discovery; and DSDM 2012 provided the opportunity for Ph.D. students and junior researchers to discuss their work on data mining foundations, techniques and applications.

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

Author : Kumar, A.V. Senthil
Publisher : IGI Global
Page : 414 pages
File Size : 53,9 Mb
Release : 2010-08-31
Category : Computers
ISBN : 9781609600693

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Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains by Kumar, A.V. Senthil Pdf

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.

Trends and Applications in Knowledge Discovery and Data Mining

Author : Huiping Cao,Jinyan Li,Ruili Wang
Publisher : Springer
Page : 288 pages
File Size : 53,9 Mb
Release : 2016-07-15
Category : Computers
ISBN : 9783319429960

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Trends and Applications in Knowledge Discovery and Data Mining by Huiping Cao,Jinyan Li,Ruili Wang Pdf

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.

Data Mining and Knowledge Discovery Handbook

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1269 pages
File Size : 49,8 Mb
Release : 2010-09-10
Category : Computers
ISBN : 9780387098234

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Knowledge Discovery Practices and Emerging Applications of Data Mining

Author : A. Senthil Kumar
Publisher : Unknown
Page : 128 pages
File Size : 49,7 Mb
Release : 2011
Category : Electronic
ISBN : OCLC:986502159

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Knowledge Discovery Practices and Emerging Applications of Data Mining by A. Senthil Kumar Pdf

"This book introduces the reader to recent research activities in the field of data mining, covering association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases"--Provided by publisher.

Trends and Applications in Knowledge Discovery and Data Mining

Author : Mohadeseh Ganji,Lida Rashidi,Benjamin C. M. Fung,Can Wang
Publisher : Springer
Page : 370 pages
File Size : 50,6 Mb
Release : 2018-12-11
Category : Computers
ISBN : 9783030045036

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Trends and Applications in Knowledge Discovery and Data Mining by Mohadeseh Ganji,Lida Rashidi,Benjamin C. M. Fung,Can Wang Pdf

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2018, held in conjunction with the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, in Melbourne, Australia, in June 2018. The 32 revised papers presented were carefully reviewed and selected from 46 submissions. The workshops affiliated with PAKDD 2018 include: Workshop on Big Data Analytics for Social Computing, BDASC, Australasian Workshop on Machine Learning for Cyber-security, ML4Cyber, Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining, BDM, Pacific Asia Workshop on Intelligence and Security Informatics, PAISI, and Workshop on Data Mining for Energy Modeling and Optimization, DaMEMO.

Emerging Technologies in Knowledge Discovery and Data Mining

Author : Takashi Washio,Zhi-Hua Zhou,Joshua Zhexue Huang,Xiaohua (Tony) Hu,Jinyan Li,Chao Xie,Jieyue He,Deqing Zou,Kuan-Ching Li,Mario M. Freire
Publisher : Springer Science & Business Media
Page : 688 pages
File Size : 40,6 Mb
Release : 2007-12-14
Category : Computers
ISBN : 9783540770169

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Emerging Technologies in Knowledge Discovery and Data Mining by Takashi Washio,Zhi-Hua Zhou,Joshua Zhexue Huang,Xiaohua (Tony) Hu,Jinyan Li,Chao Xie,Jieyue He,Deqing Zou,Kuan-Ching Li,Mario M. Freire Pdf

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.

Research and Trends in Data Mining Technologies and Applications

Author : Taniar, David
Publisher : IGI Global
Page : 340 pages
File Size : 40,7 Mb
Release : 2006-10-31
Category : Computers
ISBN : 9781599042732

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Research and Trends in Data Mining Technologies and Applications by Taniar, David Pdf

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

Author : Bhavani Thuraisingham
Publisher : CRC Press
Page : 296 pages
File Size : 44,8 Mb
Release : 1998-12-18
Category : Computers
ISBN : 0849318157

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Data Mining by Bhavani Thuraisingham Pdf

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues. This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence. Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.

Knowledge Discovery and Data Mining. Current Issues and New Applications

Author : Takao Terano,Huan Liu,Arbee L.P. Chen
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 48,7 Mb
Release : 2007-07-13
Category : Computers
ISBN : 9783540455714

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Knowledge Discovery and Data Mining. Current Issues and New Applications by Takao Terano,Huan Liu,Arbee L.P. Chen Pdf

The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000) was held at the Keihanna-Plaza, Kyoto, Japan, April 18 - 20, 2000. PAKDD 2000 provided an international forum for researchers and applica tion developers to share their original research results and practical development experiences. A wide range of current KDD topics were covered including ma chine learning, databases, statistics, knowledge acquisition, data visualization, knowledge-based systems, soft computing, and high performance computing. It followed the success of PAKDD 97 in Singapore, PAKDD 98 in Austraha, and PAKDD 99 in China by bringing together participants from universities, indus try, and government from all over the world to exchange problems and challenges and to disseminate the recently developed KDD techniques. This PAKDD 2000 proceedings volume addresses both current issues and novel approaches in regards to theory, methodology, and real world application. The technical sessions were organized according to subtopics such as Data Mining Theory, Feature Selection and Transformation, Clustering, Application of Data Mining, Association Rules, Induction, Text Mining, Web and Graph Mining. Of the 116 worldwide submissions, 33 regular papers and 16 short papers were accepted for presentation at the conference and included in this volume. Each submission was critically reviewed by two to four program committee members based on their relevance, originality, quality, and clarity.

Advances in Knowledge Discovery and Data Mining

Author : James Bailey,Latifur Khan,Takashi Washio,Gill Dobbie,Joshua Zhexue Huang,Ruili Wang
Publisher : Springer
Page : 608 pages
File Size : 49,5 Mb
Release : 2016-04-11
Category : Computers
ISBN : 9783319317533

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Advances in Knowledge Discovery and Data Mining by James Bailey,Latifur Khan,Takashi Washio,Gill Dobbie,Joshua Zhexue Huang,Ruili Wang Pdf

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.

Advanced Methods for Knowledge Discovery from Complex Data

Author : Ujjwal Maulik,Lawrence B. Holder,Diane J. Cook
Publisher : Springer Science & Business Media
Page : 375 pages
File Size : 44,5 Mb
Release : 2006-05-06
Category : Computers
ISBN : 9781846282843

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Advanced Methods for Knowledge Discovery from Complex Data by Ujjwal Maulik,Lawrence B. Holder,Diane J. Cook Pdf

The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.

Advances in Knowledge Discovery and Data Mining

Author : Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava
Publisher : Springer
Page : 558 pages
File Size : 53,6 Mb
Release : 2011-05-27
Category : Computers
ISBN : 9783642208478

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Advances in Knowledge Discovery and Data Mining by Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava Pdf

The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knowledge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

Advances in Knowledge Discovery and Data Mining

Author : Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava
Publisher : Springer
Page : 584 pages
File Size : 41,8 Mb
Release : 2011-06-06
Category : Electronic
ISBN : 3642208487

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Advances in Knowledge Discovery and Data Mining by Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava Pdf

The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knoweldge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

Emerging Trends in Open Source Geographic Information Systems

Author : Srivastava, Naveenchandra N.
Publisher : IGI Global
Page : 302 pages
File Size : 48,7 Mb
Release : 2018-05-25
Category : Technology & Engineering
ISBN : 9781522550402

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Emerging Trends in Open Source Geographic Information Systems by Srivastava, Naveenchandra N. Pdf

Open access to information of geographic places and spatial relationships provides an essential part of the analytical processing of spatial data. Access to connected geospatial programs allows for improvement in teaching and understanding science, technology, engineering, and mathematics. Emerging Trends in Open Source Geographic Information Systems provides emerging research on the applications of free and open software in geographic information systems in various fields of study. While highlighting topics such as data warehousing, hydrological modeling, and software packages, this publication explores the assessment and techniques of open software functionality and interfaces. This book is an important resource for professionals, researchers, academicians, and students seeking current research on the different types and uses of data and data analysis in geographic information systems.