Advances In Knowledge Discovery And Data Mining


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


Advances In Knowledge Discovery And Data Mining
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Author : Usama M. Fayyad
language : en
Publisher:
Release Date : 1996

Advances In Knowledge Discovery And Data Mining written by Usama M. Fayyad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.


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 Part I


Advances In Knowledge Discovery And Data Mining Part I
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Author : Pang-Ning Tan
language : en
Publisher: Springer
Release Date : 2012-05-10

Advances In Knowledge Discovery And Data Mining Part I written by Pang-Ning Tan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-10 with Computers categories.


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


Advances In Knowledge Discovery And Data Mining
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Author : Pang-Ning Tan
language : en
Publisher:
Release Date :

Advances In Knowledge Discovery And Data Mining written by Pang-Ning Tan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Advances In Knowledge Discovery And Data Mining


Advances In Knowledge Discovery And Data Mining
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Author : Tru Cao
language : en
Publisher: Springer
Release Date : 2015-04-16

Advances In Knowledge Discovery And Data Mining written by Tru Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-16 with Computers categories.


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 Management


Advances In Knowledge Discovery And Management
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Author : Fabrice Guillet
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-11

Advances In Knowledge Discovery And Management written by Fabrice Guillet 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 2010-06-11 with Computers categories.


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


Advances In Knowledge Discovery And Data Mining
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Author : Dinh Phung
language : en
Publisher: Springer
Release Date : 2018-06-16

Advances In Knowledge Discovery And Data Mining written by Dinh Phung and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-16 with Computers categories.


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


Advances In Knowledge Discovery And Data Mining
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Author : Kamal Karlapalem
language : en
Publisher: Springer Nature
Release Date : 2021-05-07

Advances In Knowledge Discovery And Data Mining written by Kamal Karlapalem and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-07 with Computers categories.


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 Data Mining


Advances In Knowledge Discovery And Data Mining
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Author : Joshua Zhexue Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-09

Advances In Knowledge Discovery And Data Mining written by Joshua Zhexue Huang 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 2011-05-09 with Computers categories.


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.



Advances In Knowledge Discovery And Data Mining


Advances In Knowledge Discovery And Data Mining
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Author : Hady W. Lauw
language : en
Publisher: Springer Nature
Release Date : 2020-05-08

Advances In Knowledge Discovery And Data Mining written by Hady W. Lauw and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-08 with Computers categories.


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


Advances In Knowledge Discovery And Data Mining
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Author : Jian Pei
language : en
Publisher: Springer
Release Date : 2013-04-06

Advances In Knowledge Discovery And Data Mining written by Jian Pei and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-06 with Computers categories.


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.