Utility mining with negative item values has recently received interest in the data mining field
due to its practical considerations. Previously, the values of utility item-sets have been taken …

With the rapid increase of information generated from all kinds of sources, temporal big data
mining in business area has been paid more and more attention recently. A novel data …

Timely identification of recently rising patterns is required in business process. Data mining
methods are most appropriate for the characterization, valuable examples extraction, and …

Association rule mining (ARM) is a technique for discovering meaningful associations within
databases, typically handling discrete and categorical data. Recent advancements in ARM …

Now days, enormous amount of the data are generated and collected from different domains
and analyze of all these data manually is tedious task. Therefore, Knowledge Discovery in …

Supply chain management (SCM) assumes an exceptionally indispensable part in
overseeing and sorting out big business forms, expanding operational productivity of the …

Timely identification of recently rising patterns is required in business process. Data mining
methods are most appropriate for the characterization, valuable examples extraction, and …