Methodologies Knowledge Discovery Data (43 results)
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X, 303 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Studies in Big Data, Vol. 1. Sprache: Englisch.
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Methodologies for Knowledge Discovery and Data Mining : Third Pacific-Asia Conference, Pakdd-99, Beijing, China, April 26-28, 1999 : Proceedings
Pacific-Asia Conference on Knowledge Discovery and Data Mining; Zhong, Ning (EDT); Zhou, Lizhi (EDT)
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Methodologies for Knowledge Discovery and Data Mining : Third Pacific-Asia Conference, Pakdd-99, Beijing, China, April 26-28, 1999 : Proceedings
Pacific-Asia Conference on Knowledge Discovery and Data Mining; Zhong, Ning (EDT); Zhou, Lizhi (EDT)
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains the papers selected for presentation at the Third Paci c- Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99)held in the Xiangshan Hotel, Beijing, China, April 26-28, 1999. The conference was sp- sored by Tsinghua… University, National Science Foundation of China, Chinese Computer Federation, Toshiba Corporation, and NEC Software Chugoku, Ltd. PAKDD-99 provided an international forum for the sharing of original research results and practical development experiences among researchers and application developers from di erent KDD-related areas such as machine lea- ing, databases, statistics, knowledge acquisition, data visualization, knowled- based systems, soft computing, and high performance computing. It followed the success of PAKDD-97 held in Singapore in 1997 and PAKDD-98 held in A- tralia in 1998 by bringing together participants from universities, industry, and government. PAKDD-99 encouraged both new theory/methodologies and real world - plications, and covered broad and diverse topics in data mining and knowledge discovery. The technical sessions included: Association Rules Mining; Feature Selection and Generation; Mining in Semi, Un-structured Data; Interestingness, Surprisingness, and Exceptions; Rough Sets, Fuzzy Logic, and Neural Networks; Induction, Classi cation, and Clustering; Causal Model and Graph-Based Me- ods; Visualization; Agent-Based, and Distributed Data Mining; Advanced Topics and New Methodologies. Of the 158 submissions, we accepted 29 regular papers and 37 short papers for presentation at the conference and for publication in this volume. In addition, over 20 papers were accepted for poster presentation.
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Language: English
Published by CRC PR INC, 2011
Series: Book 22 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Language: English
Published by CRC Press, 2017
Series: Book 22 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Published by CRC Press, 2017
Series: Book 22 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Taschenbuch. Condition: Neu. Knowledge Discovery Using Data mining and Soft Computing Methodologies | Research oriented book | Dharmpal Singh | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207807079 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTL…AND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Methodologies for Knowledge Discovery and Data Mining : Third Pacific-Asia Conference, Pakdd-99, Beijing, China, April 26-28, 1999 : Proceedings
Pacific-Asia Conference on Knowledge Discovery and Data Mining; Zhong, Ning (EDT); Zhou, Lizhi (EDT)
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 316 | Sprache: Englisch | Produktart: Bücher | The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as busin…ess, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.
Methodologies for Knowledge Discovery and Data Mining : Third Pacific-Asia Conference, Pakdd-99, Beijing, China, April 26-28, 1999 : Proceedings
Pacific-Asia Conference on Knowledge Discovery and Data Mining; Zhong, Ning (EDT); Zhou, Lizhi (EDT)
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Published by CRC Press, 2017
Series: Book 22 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Taschenbuch. Condition: Neu. Data Mining and Knowledge Discovery for Big Data | Methodologies, Challenge and Opportunities | Wesley W. Chu | Taschenbuch | x | Englisch | 2016 | Springer Berlin | EAN 9783662509456 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[…at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineeri…ng, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2013
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, soc…ial media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.
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Published by CRC PR INC, 2011
Series: Book 22 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Condition: gut. 2011. Mining Software Specifications: Methodologies and Applications (Chapman & Hall/Crc Data Mining and Knowledge Discovery, Band 17) In englischer Sprache. pages.
