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Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art…
Solving combinatorial optimization problems, especially stochastic problems, could be complicated. Reinforcement learning (RL) algorithms train a machine learning model to make a sequence of decisions. Instead of learning the direct rewards, it learns the long-term effects on th…
Cluster analysis is a fundamental research field in Knowledge Discovery and Data Mining (KDD). It aims at partitioning a given dataset into some homogeneous clusters so as to reflect the natural hidden data structure. Various heuristic or statistical approaches have been develop…