Jiawei Han

TL;DR: The general design principles and implementation techniques of the LogicBase system are introduced and its strength and limitations are discussed.

TL;DR: In this article, the authors provide a unified framework to deeply summarize and evaluate existing research on heterogeneous network embedding (HNE), which includes but goes beyond a normal survey, and create four benchmark datasets with various properties regarding scale, structure, attribute/label availability, and etc.

TL;DR: This paper proposes a novel framework for automated phrase mining, which supports any language as long as a general knowledge base in that language is available, while benefiting from, but not requiring, a POS tagger.

TL;DR: The notion of intertransaction association rule is introduced, its measurements: support and confidence, and an efficient algorithm, FITI, is developed, which adopts two major ideas: 1) an intertransACTION frequent itemset contains only the frequent itemsets of its corresponding intratransaction counterpart; and 2) a special data structure is built among intr atransaction frequent itemset for efficient mining of inter transnational itemsets.

TL;DR: Today’s information explosion generates significant challenges for anomaly detection when there exist many large, distributed data repositories consisting of a variety of data sources and formats.