"Clustering in a Multi-Agent Data Mining Environment"

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Book	Author(s)	Year	Publisher
Data Mining and Multi-agent Integration	Longbing Cao	2009	Springer US
Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman and Hall/CRC
Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman & Hall – CRC
Advances in K-means Clustering: a Data Mining Thinking	Junjie Wu (auth.)	2012	Springer-Verlag Berlin Heidelberg
Advances in K-means Clustering: A Data Mining Thinking	Junjie Wu	2012	Springer Berlin Heidelberg
Multi-Relational Data Mining	A.J. Knobbe	2006	IOS Press
Agent Intelligence Through Data Mining	Andreas L. Symeonidis; Pericles A. Mitkas	2005	Springer US
Data Classification and Incremental Clustering in Data Mining and Machine Learning	Sanjay Chakraborty; Sk Hafizul Islam; Debabrata Samanta	1st ed. 2022	Springer International Publishing
Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics	Ujjwal Maulik; Sanghamitra Bandyopadhyay; Anirban Mukhopadhyay	2011	Springer Berlin Heidelberg
Modern Big Data Architectures - A Multi-Agent Systems Perspective	Dominik Ryżko	2020	John Wiley & Sons
Swarm Intelligence for Multi-objective Problems in Data Mining	Carlos Coello Coello; Satchidananda Dehuri; Susmita Ghosh	2010	Springer Berlin Heidelberg
Advanced Multi-industry Applications of Big Data Clustering and Machine Learning	Fausto Pedro Garcia Marquez (editor)	2020	Engineering Science Reference
Linking and Mining Heterogeneous and Multi-view Data	Deepak P; Anna Jurek-Loughrey	1st ed. 2019	Springer International Publishing
Data Analysis and Applications 1: Clustering and Regression, Modeling-estimating, Forecasting and Data Mining	Christos H. Skiadas; James R. Bozeman	2019	Wiley Data and Cybersecurity
Multi-Agent Safety	Juan Pimentel	2020	SAE
Algorithms for Clustering Data	Anil K. Jain, Richard C. Dubes	1988	Prentice Hall College Div
Opinion Analysis in Interactions: From Data Mining to Human-Agent Interaction	Chloe Clavel	2019	Wiley Data and Cybersecurity
Conceptual Modelling of Multi-Agent Systems: The CoMoMAS Engineering Environment	Norbert Glaser	2002	Springer US
Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification	Dawn E. Holmes; Lakhmi C Jain	2012	Springer Berlin Heidelberg
Text Mining: Classification, Clustering, and Applications	Ashok N. Srivastava; Mehran Sahami	2009	Routledge
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Clustering in a Multi-Agent Data Mining Environment	Santhana Chaimontree; Katie Atkinson; Frans Coenen	Agents and Data Mining Interaction: 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers	Longbing Cao; Ana L.C. Bazzan; Vladimir Gorodetsky; Pericles A. Mitkas; Gerhard Weiss; Philip S. Yu	2010	Springer Berlin Heidelberg
Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining	Santhana Chaimontree; Katie Atkinson; Frans Coenen	Advances in Data Mining: Applications and Theoretical Aspects: 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings	Petra Perner	2010	Springer Berlin Heidelberg
Scheduling in a Multi-Agent Environment	Milan Schmotzer; Jan Paralic; Julius Csonto	Intelligent Systems for Manufacturing: Multi-Agent Systems and Virtual Organizations Proceedings of the BASYS’98 — 3rd IEEE/IFIP International Conference on Information Technology for BALANCED AUTOMATION SYSTEMS in Manufacturing Prague, Czech Republic, August 1998	Luis M. Camarinha-Matos; Hamideh Afsarmanesh	1998	Springer US
A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment	Javier Alfonso Cendón; Ana González Marcos; Manuel Castejón Limas; Joaquín Ordieres Meré	Computational Intelligence in Security for Information Systems 2010: Proceedings of the 3rd International Conference on Computational Intelligence in Security for Information Systems (CISIS’10)	Álvaro Herrero; Emilio Corchado; Carlos Redondo Gil; Ángel Alonso Alvarez	2010	Springer Berlin Heidelberg
Multi-agent Systems and Distributed Data Mining	Chris Giannella; Ruchita Bhargava; Hillol Kargupta	Cooperative Information Agents VIII: 8th International Workshop, CIA 2004, Erfurt, Germany, September 27-29, 2004, Proceedings	Matthias Klusch; Sascha Ossowski; Vipul Kashyap; Rainer Unland	2004	Springer Berlin Heidelberg
Multi-Agent Data Mining using Evolutionary Computing	Riyaz Sikora	Evolutionary Computation in Data Mining	Ashish Ghosh	2005	Springer Berlin Heidelberg
Frequent Set Meta Mining: Towards Multi-Agent Data Mining	Kamal Ali Albashiri; Frans Coenen; Rob Sanderson; Paul Leng	Research and Development in Intelligent Systems XXIV: Proceedings of AI-2007, The Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence	Max Bramer; Frans Coenen; Miltos Petridis	2008	Springer London
A Generic and Extendible Multi-Agent Data Mining Framework	Kamal Ali Albashiri; Frans Coenen	Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings	Emilio Corchado; Xindong Wu; Erkki Oja; Bruno Baruque	2009	Springer Berlin Heidelberg
Data Mining Process Optimization in Computational Multi-agent Systems	Ondřej Kazík; Roman Neruda	Agents and Data Mining Interaction: 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers	Longbing Cao; Yifeng Zeng; Bo An; Andreas L. Symeonidis; Vladimir Gorodetsky; Frans Coenen; Philip S. Yu	2015	Springer International Publishing
Conversation Mining in Multi-agent Systems	Arnaud Mounier; Olivier Boissier; François Jacquenet	Multi-Agent Systems and Applications III: 3rd International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2003, Prague, Czech Republic, June 2003, Proceedings	Vladimir Marik; Jörg Müller; Michal Pechoucek	2003	Springer Berlin Heidelberg
Data Mining in a Parallel Environment	Antonio Mucherino; Petraq J. Papajorgji; Panos M. Pardalos	Data Mining in Agriculture	Antonio Mucherino; Petraq Papajorgji; Panos M. Pardalos	2009	Springer New York
Multi-Agent Environment Coverage		Advances in Practical Multi-Agent Systems	Bai, Quan; Fukuta, Naoki	2011	Springer Berlin Heidelberg
Multi-Agent Environment Coverage		Advances in Practical Multi-Agent Systems	Quan Bai, Naoki Fukuta	2010	Springer
RLlib multi-agent environment		Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices	Enes Bilgin	2020	Packt Publishing
Big Data Clustering: Applying Conventional Data Mining Techniques in Big Data Environment	P. Praveen; Ch. Jayanth Babu	Innovations in Computer Science and Engineering: Proceedings of the Sixth ICICSE 2018	H. S. Saini; Rishi Sayal; Aliseri Govardhan; Rajkumar Buyya	1st ed. 2019	Springer Nature Singapore
The EMADS Extendible Multi-Agent Data Mining Framework	Kamal Ali Albashiri; Frans Coenen	Data Mining and Multi-agent Integration	Longbing Cao	2009	Springer US
Multi-Agent System for Spatio Temporal Data Mining	I. L. Narasimha Rao; A. Govardhan; K. Venkateswara Rao	ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II: Hosted by CSI Vishakapatnam Chapter	Suresh Chandra Satapathy; P. S. Avadhani; Siba K. Udgata; Sadasivuni Lakshminarayana	2014	Springer International Publishing
Self-organizing Multi-agent Systems for Data Mining	Ichiro Satoh	Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings	Vladimir Gorodetsky; Chengqi Zhang; Victor Skormin; Longbing Cao	2007	Springer Berlin Heidelberg
Data Stream Clustering Algorithm in Data Mining	Yue Shu	2020 International Conference on Applications and Techniques in Cyber Intelligence: Applications and Techniques in Cyber Intelligence (ATCI 2020)	Jemal H. Abawajy; Kim-Kwang Raymond Choo; Zheng Xu; Mohammed Atiquzzaman	1st ed. 2021	Springer International Publishing
Agent-Driven Data Mining	Longbing Cao; Chengqi Zhang; Philip S. Yu; Yanchang Zhao	Domain Driven Data Mining	Longbing Cao; Philip S. Yu; Chengqi Zhang; Yanchang Zhao	2010	Springer US
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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