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Active Mining als Buch von
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Active Mining:Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers Lecture Notes in Artificial Intelligence. 2005. Auflage

Anbieter: Hugendubel.de
Stand: 19.10.2017
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Active Mining als eBook Download von
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Active Mining:Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers

Anbieter: Hugendubel.de
Stand: 09.10.2017
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eBook Automating the Design of Data Mining Algo...
142,79 € *
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Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for de

Anbieter: RAKUTEN: Ihr Mark...
Stand: 12.10.2017
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From Social Data Mining and Analysis to Predict...
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This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning. Mehmet Kaya: He received the B.Sc. degree in Electrical and Electronics Engineering in 1996 and the M.Sc. and Ph.D. degrees in Computer Engineering from in 1999 and 2003, respectively, all from Firat University, Elazig, Turkey. Currently, he is a Professor in the Department of Computer Engineering, Firat University. He spent 2002 as a Visiting Scholar at the ADSA Laboratory, Department of Computer Science, University of Calgary, Canada. He has published over 70 papers in refereed international journals and conferences. His primary work and research interests are in the areas of data mining, social network analysis and mining, multi-agent systems, machine learning, and soft computing. Jon Rokne: Jon Rokne is a Full Professor and former Head in the Department of Computer Science at the University of Calgary. He has published extensively in mathematics and computer science including co-editing the Encyclopedia of Social Network Analysis and Mining. He was Vice-President IEEE, PSPB in 2009 and 2010 and is currently active on the IEEE Big Data Initiative. Özcan Erdo?an: Graduated from Ankara University Faculty of Political Science Department of Economics and Finance. He was the Hani District Governor of Diyarbakir in 1988 and Cinar District Governor of Diyarbakir in 1989. During the years 1990 to 1992, in which problems of the Gulf War were being experienced he, again, was in Diyarbakir as the Deputy Governor of the State of Emergency. He worked at the State Supervisory Board at studies of the measures for eliminating the terrorist environment during 1996 and 1997. He again took roles at the 55 th Government Ministry for the socio-economic and cultural development of Eastern and Southeastern Anatolia Regions, where terrorism affected the most. During this task, he especially worked on the projects and studies such as the restructuring of the East and Southeast, future of Emergency Region Governorate, Temporary Village Guard System (GKK), implementation of the repentance law, return to village and rehabilitation project, implementation of emergency assistance programs in the regions and the development of border trade. He got his PhD from Ankara University Institute of Social Sciences, Social Science in Environmental Sciences Faculty. Including the Journal of Econometrics, his articles have been published in various journals. Currently he serves as the Chief Inspector at the Board of Inspection of the Ministry of Interior Services.

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Stand: 11.07.2017
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Computational Intelligence in Data Mining - Pro...
367,71 € *
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The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 - 11, 2016. The book disseminates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, along with current issues and applications of related topics. The volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science. Prof. Himansu Sekhar Behera is working as an Associate Professor in the Department of Computer Sc. Engineering & Information Technology, Veer SurendraSai University of Technology (VSSUT) - An Unitary Technical University, Established by Government of Odisha. He has received M.Tech in Computer Science & Engineering from NIT, Rourkela (formerly R.E.C, Rourkela) and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Government of Odisha, respectively. He has published more than 100 research papers in various international Journals and Conferences, edited 11 books and is acting as a Member of the Editorial/Reviewer Board of various international journals. He is proficient in the field of Computer Science Engineering and served in the capacity of program chair, tutorial chair and as an advisory member of committees of many national and international conferences. His research interest includes data mining and intelligent computing. He is associated with various educational and research societies like OITS, ISTE, IE, ISTD, CSI, OMS, AIAER, SMIAENG, SMCSTA, etc. He is currently guiding eight Ph.D. scholars. Prof. Durga Prasad Mohapatra received his Ph.D. from Indian Institute of Technology Kharagpur and is presently serving as Associate Professor in NIT Rourkela, Odisha. His research interests include software engineering, real-time systems, discrete mathematics, and distributed computing. He has published more than 30 research papers in these fields in various international Journals and Conferences. He has received several project grants from DST and UGC, Government of India. He has received the Young Scientist Award for the year 2006 by Orissa Bigyan Academy. He has also received the Prof. K. Arumugam National Award and the Maharashtra State National Award for outstanding research work in Software Engineering for the years 2009 and 2010, respectively from the Indian Society for Technical Education (ISTE), New Delhi. He is going to receive the Bharat Sikshya Ratan Award for significant contribution in academics awarded by the Global Society for Health and Educational Growth, Delhi.

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Computational Intelligence in Data Mining-Volum...
202,29 € *
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The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India during 5 - 6 December 2015. The two-volume Proceedings address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics. Prof. Himansu Sekhar Behera is working as an Associate Professor in the Department of Computer Science Engineering & Information Technology, Veer Surendra Sai University of Technology (VSSUT) - An Unitary Technical University, Established by Govt. of Odisha, Burla, Odisha. He has received M.Tech in Computer Science & Engineering from N.I.T, Rourkela (formerly R.E.C, Rourkela) and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Govt. of Odisha, respectively. He has published more than 80 research papers in various international Journals and Conferences, edited 11 books and is acting as a Member of the Editorial / Reviewer Board of various international journals. He is proficient in the field of Computer Science Engineering and served in the capacity of program chair, tutorial chair and acted as advisory member of committees of many national and international conferences. His research interests include Data Mining, Soft Computing, Evolutionary Computation, Machine Intelligence and Distributed System. He is associated with various educational and research societies like OITS,ISTE, IE, ISTD,CSI,OMS,AIAER, SMIAENG,SMCSTA, etc. Prof. Durga Prasad Mohapatra received his Ph.D. from Indian Institute of Technology Kharagpur and is presently serving as Associate Professor in NIT Rourkela, Odisha. His research interests include software engineering, real-time systems, discrete mathematics, and distributed computing. He has published more than 30 research papers in these fields in various international Journals and Conferences. He has received several project grants from DST and UGC, Govt. of India. He has received the Young Scientist Award for the year 2006 by Orissa Bigyan Academy. He has also received the Prof. K. Arumugam National Award and the Maharashtra State National Award for outstanding research work in Software Engineering for the years 2009 and 2010, respectively from the Indian Society for Technical Education (ISTE), New Delhi. He is going to receive the Bharat Sikshya Ratan Award for significant contribution in academics awarded by the Global Society for Health and Educational Growth, Delhi.

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Computational Intelligence in Data Mining - Vol...
260,61 € *
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The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics. Prof. Lakhmi Jain is with the Faculty of Education, Science, Technology and Mathematics at the University of Canberra, Australia and University of South Australia, Australia. He is a Fellow of the Institution of Engineers, Australia. Prof Jain founded the Knowledge-Based Intelligent Engineering System (KES) International, a professional community for providing opportunities for publication, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for the professional community through one of the largest conferences of its kind in the area of the KES. His interest focus on artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents. Prof. Himansu Sekhar Behera is working as a Reader in the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology (VSSUT) (A Unitary Technical University, Established by Govt. of Odisha), Burla, Odisha. He has received M.Tech in Computer Science & Engineering from N.I.T, Rourkela (formerly R.E.C, Rourkela) and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Govt. of Odisha respectively. He has published more than 80 research papers in various international Journals and Conferences, Edited 11 books and is acting as a Member of the Editorial / Reviewer Board of various international journals. He is a proficient in the field of Computer Science Engineering and served the capacity of program chair, tutorial chair and act as advisory member of committees of many national and international conferences. His research interest includes Data Mining and Intelligent Computing. He is associated with various educational and research societies like OITS, ISTE, IE, ISTD,CSI,OMS,AIAER, SMIAENG,SMCSTA etc. He is currently guiding seven Ph.D. scholars. Prof. Jyotsna Kumar Mandal is working as Professor in Computer Science and Engineering, University of Kalyani, India. Ex-Dean Faculty of Engineering, Technology & Management (two consecutive terms since 2008). He has 26 years of teaching and research experiences. He was Life Member of Computer Society of India since 1992 and life member of Cryptology Research Society of India, member of AIRCC, associate member of IEEE and ACM. His research interest includes Network Security, Steganography, Remote Sensing & GIS Application, Image Processing, Wireless and Sensor Networks. Domain Expert of Uttarbanga Krishi Viswavidyalaya, Bidhan Chandra Krishi Viswavidyalaya for planning and integration of Public domain networks. He has been associated with both national, international Journals and Conferences. His total number of publications is more than 320 including 110 publications in various International Journals. Currently, he is working as Director, IQAC, Kalyani University. Prof. Durga Prasad Mohapatra received his Ph.D. from Indian Institute of Technology Kharagpur and is presently serving as an Associate Professor in NIT Rourkela, Odisha. His research interests include software engineering, real-time systems, discrete mathematics, and distributed computing. He has published more than thirty research papers in these fields in various

Anbieter: ciando eBooks
Stand: 11.07.2017
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Computational Intelligence in Data Mining - Vol...
260,61 € *
ggf. zzgl. Versand

The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics. Prof. Lakhmi Jain is with the Faculty of Education, Science, Technology and Mathematics at the University of Canberra, Australia and University of South Australia, Australia. He is a Fellow of the Institution of Engineers, Australia. Prof Jain founded the Knowledge-Based Intelligent Engineering System (KES) International, a professional community for providing opportunities for publication, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for the professional community through one of the largest conferences of its kind in the area of the KES. His interest focus on artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents. Prof. Himansu Sekhar Behera is working as a Reader in the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology (VSSUT) (A Unitary Technical University, Established by Govt. of Odisha), Burla, Odisha. He has received M.Tech in Computer Science & Engineering from N.I.T, Rourkela (formerly R.E.C, Rourkela) and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Govt. of Odisha respectively. He has published more than 80 research papers in various international Journals and Conferences, Edited 11 books and is acting as a Member of the Editorial / Reviewer Board of various international journals. He is a proficient in the field of Computer Science Engineering and served the capacity of program chair, tutorial chair and act as advisory member of committees of many national and international conferences. His research interest includes Data Mining and Intelligent Computing. He is associated with various educational and research societies like OITS, ISTE, IE, ISTD,CSI,OMS,AIAER, SMIAENG,SMCSTA etc. He is currently guiding seven Ph.D. scholars. Prof. Jyotsna Kumar Mandal is working as Professor in Computer Science and Engineering, University of Kalyani, India. Ex-Dean Faculty of Engineering, Technology & Management (two consecutive terms since 2008). He has 26 years of teaching and research experiences. He was Life Member of Computer Society of India since 1992 and life member of Cryptology Research Society of India, member of AIRCC, associate member of IEEE and ACM. His research interest includes Network Security, Steganography, Remote Sensing & GIS Application, Image Processing, Wireless and Sensor Networks. Domain Expert of Uttarbanga Krishi Viswavidyalaya, Bidhan Chandra Krishi Viswavidyalaya for planning and integration of Public domain networks. He has been associated with both national, international Journals and Conferences. His total number of publications is more than 320 including 110 publications in various International Journals. Currently, he is working as Director, IQAC, Kalyani University. Prof. Durga Prasad Mohapatra received his Ph.D. from Indian Institute of Technology Kharagpur and is presently serving as an Associate Professor in NIT Rourkela, Odisha. His research interests include software engineering, real-time systems, discrete mathematics, and distributed computing. He has published more than thirty research papers in these fields in various

Anbieter: ciando eBooks
Stand: 11.07.2017
Zum Angebot
Computational Intelligence in Data Mining - Vol...
260,61 € *
ggf. zzgl. Versand

The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics. Prof. Lakhmi Jain is with the Faculty of Education, Science, Technology and Mathematics at the University of Canberra, Australia and University of South Australia, Australia. He is a Fellow of the Institution of Engineers, Australia. Prof Jain founded the Knowledge-Based Intelligent Engineering System (KES) International, a professional community for providing opportunities for publication, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for the professional community through one of the largest conferences of its kind in the area of the KES. His interest focus on artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents. Prof. Himansu Sekhar Behera is working as a Reader in the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology (VSSUT) (A Unitary Technical University, Established by Govt. of Odisha), Burla, Odisha. He has received M.Tech in Computer Science & Engineering from N.I.T, Rourkela (formerly R.E.C, Rourkela) and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Govt. of Odisha respectively. He has published more than 80 research papers in various international Journals and Conferences, Edited 11 books and is acting as a Member of the Editorial / Reviewer Board of various international journals. He is a proficient in the field of Computer Science Engineering and served the capacity of program chair, tutorial chair and act as advisory member of committees of many national and international conferences. His research interest includes Data Mining and Intelligent Computing. He is associated with various educational and research societies like OITS, ISTE, IE, ISTD,CSI,OMS,AIAER, SMIAENG,SMCSTA etc. He is currently guiding seven Ph.D. scholars. Prof. Jyotsna Kumar Mandal is working as Professor in Computer Science and Engineering, University of Kalyani, India. Ex-Dean Faculty of Engineering, Technology & Management (two consecutive terms since 2008). He has 26 years of teaching and research experiences. He was Life Member of Computer Society of India since 1992 and life member of Cryptology Research Society of India, member of AIRCC, associate member of IEEE and ACM. His research interest includes Network Security, Steganography, Remote Sensing & GIS Application, Image Processing, Wireless and Sensor Networks. Domain Expert of Uttarbanga Krishi Viswavidyalaya, Bidhan Chandra Krishi Viswavidyalaya for planning and integration of Public domain networks. He has been associated with both national, international Journals and Conferences. His total number of publications is more than 320 including 110 publications in various International Journals. Currently, he is working as Director, IQAC, Kalyani University. Prof. Durga Prasad Mohapatra received his Ph.D. from Indian Institute of Technology Kharagpur and is presently serving as an Associate Professor in NIT Rourkela, Odisha. His research interests include software engineering, real-time systems, discrete mathematics, and distributed computing. He has published more than thirty research papers in these fields in various

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Stand: 11.07.2017
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Readings in Artificial Intelligence and Databases
65,39 € *
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The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.

Anbieter: ciando eBooks
Stand: 22.08.2016
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