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Mining Intelligence and Knowledge Exploration
This book constitutes the refereed post-conference proceedings of the 5th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2017, held in Hyderabad, India, in December 2017. The 40 full papers presented were carefully reviewed and selected from 139 submissions. The papers were grouped into various subtopics including arti ficial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, and fuzzy rough sets.
Mining Intelligence and Knowledge Exploration
This book constitutes the refereed proceedings of the 4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2016, held in Mexico City, Mexico, in November 2016. The 18 full papers presented were carefully reviewed and selected from 56 submissions. Accepted papers were grouped into various subtopics including information retrieval, machine learning, pattern recognition, knowledge discovery, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation, fuzzy sets, and business intelligence.
Advances in Focused Retrieval
This book constitutes the thoroughly refereed proceedings of the 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, held at Dagstuhl Castle, Germany, in December 2008. The aim of the INEX 2008 workshop was to bring together researchers who participated in the INEX 2008 campaign. Over the year leading up to the event, participating organizations contributed to the building of a large-scale XML test collection by creating topics, performing retrieval runs, and providing relevance assessments. The workshop concluded the results of this large-scale effort, summarized and addressed the issues encountered, and devised a work plan for the future evaluation of XML retrieval systems. The 49 papers included in this volume report the final results of INEX 2008. They have been divided into sections according to the seven tracks of the workshop, investigating various aspects of XML retrieval, from book search to entity ranking, including interaction aspects.
Focused Retrieval and Evaluation
This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009, held in Brisbane, Australia, in December 2009. The aim of the INEX 2009 workshop was to bring together researchers in the field of XML IR who participated in the INEX 2009 campaign. During the past year, participating organizations contributed to the building of large-scale XML test collections by creating topics, performing retrieval runs and providing relevance assessments. The workshop concluded the results of this effort, summarized and addressed issues encountered, and devised a work plan for the future evaluation of XML retrieval systems. The 42 full papers presented together with 3 invited papers were carefully reviewed and selected from 49 submissions. They have been divided into sections according to the eight tracks of the workshop, investigating various aspects of XML retrieval, from book search to entity
Algorithms and Computation
This book constitutes the refereed proceedings of the 17th International Symposium on Algorithms and Computation, ISAAC 2006, held in Kolkata, India, December 2006. The 73 revised full papers cover algorithms and data structures, online algorithms, approximation algorithm, computational geometry, computational complexity, optimization and biology, combinatorial optimization and quantum computing, as well as distributed computing and cryptography.
Multimedia Information Extraction and Digital Heritage Preservation
The volume focuses on research-oriented work, which can help opening up new vistas of research for the research community, and explore new mechanisms of retrieval of information from multimedia documents, particularly from heritage documents, apart from using the conventional methods.
Mining Intelligence and Knowledge Exploration
This book constitutes revised selected papers from the refereed proceedings of the 9th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2021, which took place in Hammamet, Tunisia, in November 2021. The 22 full papers included in this book were carefully reviewed and selected from 61 submissions. They deal with topics such as evolutionary computation, knowledge exploration in IoT, artificial intelligence, machine learning, data mining and information retrieval, medical image analysis, pattern recognition and computer vision, speech / signal processing, text mining and natural language processing, intelligent security systems, Smart and Intelligent Systems, etc.
Advances in Computing and Information Technology
This book constitutes the proceedings of the First International Conference on Advances in Computing and Information Technology, ACITY 2011, held in Chennai, India, in July 2011. The 55 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers feature significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects.
Machine Learning: ECML 2003
This book constitutes the refereed proceedings of the 14th European Conference on Machine Learning, ECML 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with PKDD 2003. The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for PKDD 2003, selected from a total of 332 submissions. The papers address all current issues in machine learning including support vector machine, inductive inference, feature selection algorithms, reinforcement learning, preference learning, probabilistic grammatical inference, decision tree learning, clustering, classification, agent learning, Markov networks, boosting, statistical parsing, Bayesian learning, supervised learning, and multi-instance learning.
