The problem of mining hidden associations present in the large amounts of data has seen widespread applications in many practical domains such as customer oriented planning and marketing telecommunication network monitoring and analyzing data from scientific experiments. The contributions presented cover all major tasks in data mining including parallel and distributed mining frameworks associations sequences clustering and classification all in all the volume presents the state of the art in the young and dynamic field of parallel and distributed data mining methods. The series lecture notes in computer science lncs including its subseries lecture notes in artificial intelligence lnai and lecture notes in bioinformatics lnbi has established itself as a medium for the publication of new developments in computer science and information technology research and teaching quickly informally and at a high level. Efficient parallel classification using dimensional aggregates in large scale parallel data mining pp 197 210 lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics vol 1759 springer verlag. Nathan a klabjan d 2017 optimization for large scale machine learning with distributed features and observations in p perner ed machine learning and data mining in pattern recognition 13th international conference mldm 2017 proceedings
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