Advances In Knowledge Discovery And Data Mining Part I

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Advances in Knowledge Discovery and Data Mining

Usama M. Fayyad
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Usama M. Fayyad
Publisher : Unknown
Page : 638 pages
File Size : 42,8 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037286955

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Advances in Knowledge Discovery and Data Mining by Usama M. Fayyad Pdf

Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.

Advances in Knowledge Discovery and Data Mining

Qiang Yang,Zhi-Hua Zhou,Zhiguo Gong,Min-Ling Zhang,Sheng-Jun Huang
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Qiang Yang,Zhi-Hua Zhou,Zhiguo Gong,Min-Ling Zhang,Sheng-Jun Huang
Publisher : Springer
Page : 575 pages
File Size : 48,7 Mb
Release : 2019-04-03
Category : Computers
ISBN : 9783030161422

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Advances in Knowledge Discovery and Data Mining by Qiang Yang,Zhi-Hua Zhou,Zhiguo Gong,Min-Ling Zhang,Sheng-Jun Huang Pdf

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

Advances in Knowledge Discovery and Management

Fabrice Guillet,Gilbert Ritschard,Djamel A. Zighed
Advances in Knowledge Discovery and Management Book PDF

Author : Fabrice Guillet,Gilbert Ritschard,Djamel A. Zighed
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 51,6 Mb
Release : 2010-06-11
Category : Computers
ISBN : 9783642005794

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Advances in Knowledge Discovery and Management by Fabrice Guillet,Gilbert Ritschard,Djamel A. Zighed Pdf

During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for “Extraction et Gestion des Connaissances” in French), which is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and SemanticWeb. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2009 Conference held in Strasbourg, France on January 2009. The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.

Advances in Knowledge Discovery and Data Mining

Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava
Publisher : Springer
Page : 564 pages
File Size : 43,7 Mb
Release : 2011-05-27
Category : Computers
ISBN : 9783642208416

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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

Dinh Phung,Vincent S. Tseng,Geoffrey I. Webb,Bao Ho,Mohadeseh Ganji,Lida Rashidi
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Dinh Phung,Vincent S. Tseng,Geoffrey I. Webb,Bao Ho,Mohadeseh Ganji,Lida Rashidi
Publisher : Springer
Page : 720 pages
File Size : 53,6 Mb
Release : 2018-06-18
Category : Computers
ISBN : 9783319930343

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Advances in Knowledge Discovery and Data Mining by Dinh Phung,Vincent S. Tseng,Geoffrey I. Webb,Bao Ho,Mohadeseh Ganji,Lida Rashidi Pdf

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

Advances in Knowledge Discovery and Data Mining, Part I

Pang-Ning Tan,Sanjay Chawla,Chin Kuan Ho,James Bailey
Advances in Knowledge Discovery and Data Mining Part I Book PDF

Author : Pang-Ning Tan,Sanjay Chawla,Chin Kuan Ho,James Bailey
Publisher : Springer
Page : 642 pages
File Size : 50,9 Mb
Release : 2012-05-10
Category : Computers
ISBN : 9783642302176

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Advances in Knowledge Discovery and Data Mining, Part I by Pang-Ning Tan,Sanjay Chawla,Chin Kuan Ho,James Bailey Pdf

The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume.

Advances in Knowledge Discovery and Data Mining

Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan
Publisher : Springer
Page : 886 pages
File Size : 47,7 Mb
Release : 2020-05-09
Category : Computers
ISBN : 3030474259

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Advances in Knowledge Discovery and Data Mining by Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan Pdf

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

Advances in Knowledge Discovery and Data Mining

Jian Pei,Vincent S. Tseng,Longbing Cao,Hiroshi Motoda,Guandong Xu
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Jian Pei,Vincent S. Tseng,Longbing Cao,Hiroshi Motoda,Guandong Xu
Publisher : Springer
Page : 632 pages
File Size : 42,5 Mb
Release : 2013-04-06
Category : Computers
ISBN : 9783642374531

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Advances in Knowledge Discovery and Data Mining by Jian Pei,Vincent S. Tseng,Longbing Cao,Hiroshi Motoda,Guandong Xu Pdf

The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

Advances in Knowledge Discovery and Data Mining

Dinh Phung,Vincent S. Tseng,Geoffrey I. Webb,Bao Ho,Mohadeseh Ganji,Lida Rashidi
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Dinh Phung,Vincent S. Tseng,Geoffrey I. Webb,Bao Ho,Mohadeseh Ganji,Lida Rashidi
Publisher : Springer
Page : 852 pages
File Size : 44,8 Mb
Release : 2018-06-16
Category : Computers
ISBN : 9783319930404

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Advances in Knowledge Discovery and Data Mining by Dinh Phung,Vincent S. Tseng,Geoffrey I. Webb,Bao Ho,Mohadeseh Ganji,Lida Rashidi Pdf

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

Advances in Knowledge Discovery and Data Mining

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

Author : James Bailey,Latifur Khan,Takashi Washio,Gill Dobbie,Joshua Zhexue Huang,Ruili Wang
Publisher : Springer
Page : 608 pages
File Size : 46,6 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.

Data Mining and Knowledge Discovery for Process Monitoring and Control

Xue Z. Wang
Data Mining and Knowledge Discovery for Process Monitoring and Control Book PDF

Author : Xue Z. Wang
Publisher : Springer Science & Business Media
Page : 263 pages
File Size : 42,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447104216

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Data Mining and Knowledge Discovery for Process Monitoring and Control by Xue Z. Wang Pdf

Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of process-operational data both in real-time and over the operational history, and describes new concepts and methodologies for developing intelligent, state space-based systems for process monitoring, control and diagnosis. The book brings together new methods and algorithms from process monitoring and control, data mining and knowledge discovery, artificial intelligence, pattern recognition, and causal relationship discovery, as well as signal processing. It also provides a framework for integrating plant operators and supervisors into the design of process monitoring and control systems.

Advances in Knowledge Discovery and Data Mining

Tru Cao,Ee-Peng Lim,Zhi-Hua Zhou,Tu-Bao Ho,David Cheung,Hiroshi Motoda
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Tru Cao,Ee-Peng Lim,Zhi-Hua Zhou,Tu-Bao Ho,David Cheung,Hiroshi Motoda
Publisher : Springer
Page : 763 pages
File Size : 43,9 Mb
Release : 2015-04-16
Category : Computers
ISBN : 9783319180380

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Advances in Knowledge Discovery and Data Mining by Tru Cao,Ee-Peng Lim,Zhi-Hua Zhou,Tu-Bao Ho,David Cheung,Hiroshi Motoda Pdf

This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.

Advances in Knowledge Discovery and Data Mining

Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon
Publisher : Springer
Page : 866 pages
File Size : 55,7 Mb
Release : 2017-04-25
Category : Computers
ISBN : 9783319574547

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Advances in Knowledge Discovery and Data Mining by Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon Pdf

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

Advances in Knowledge Discovery and Data Mining

Kamal Karlapalem,Hong Cheng,Naren Ramakrishnan,R. K. Agrawal,P. Krishna Reddy,Jaideep Srivastava,Tanmoy Chakraborty
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Kamal Karlapalem,Hong Cheng,Naren Ramakrishnan,R. K. Agrawal,P. Krishna Reddy,Jaideep Srivastava,Tanmoy Chakraborty
Publisher : Springer Nature
Page : 794 pages
File Size : 53,8 Mb
Release : 2021-05-07
Category : Computers
ISBN : 9783030757656

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Advances in Knowledge Discovery and Data Mining by Kamal Karlapalem,Hong Cheng,Naren Ramakrishnan,R. K. Agrawal,P. Krishna Reddy,Jaideep Srivastava,Tanmoy Chakraborty Pdf

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Advances in Knowledge Discovery and Management

Fabrice Guillet,Bruno Pinaud,Gilles Venturini,Djamel Abdelkader Zighed
Advances in Knowledge Discovery and Management Book PDF

Author : Fabrice Guillet,Bruno Pinaud,Gilles Venturini,Djamel Abdelkader Zighed
Publisher : Springer
Page : 183 pages
File Size : 47,7 Mb
Release : 2013-10-25
Category : Technology & Engineering
ISBN : 9783319029993

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Advances in Knowledge Discovery and Management by Fabrice Guillet,Bruno Pinaud,Gilles Venturini,Djamel Abdelkader Zighed Pdf

This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC'2012 Conference held in Bordeaux, France, on January 2012. This conference was the 12th edition of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for ``Extraction et Gestion des Connaissances'' and means ``Knowledge Discovery and Management'', or KDM). This book is intended to be read by all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM. The book is structured in two parts called ``Knowledge Discovery and Data Mining'' and ``Classification and Feature Extraction or Selection''. The first part (6 chapters) deals with data clustering and data mining. The three remaining chapters of the second part are related to classification and feature extraction or feature selection.