QANet: Tensor Decomposition Approach for Query-Based Anomaly Detection in Heterogeneous Information Networks

Volume: 31, Issue: 11, Pages: 2178 - 2189
Published: Nov 1, 2019
Abstract
Complex networks have now become integral parts of modern information infrastructures. This paper proposes a user-centric method for detecting anomalies in heterogeneous information networks, in which nodes and/or edges might be from different types. In the proposed anomaly detection method, users interact directly with the system and anomalous entities can be detected through queries. Our approach is based on tensor decomposition and clustering...
Paper Details
Title
QANet: Tensor Decomposition Approach for Query-Based Anomaly Detection in Heterogeneous Information Networks
Published Date
Nov 1, 2019
Volume
31
Issue
11
Pages
2178 - 2189
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