ABSTRACT. Given a database network where each vertex is associated with a transaction database, we are interested in finding theme communities.

Sep 23, 2017 · We also design TC-Tree, a scalable algorithm that decomposes and indexes theme communities efficiently. Retrieving a ranked list of theme ...

Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering · Lingyang Chu, Zhefeng Wang, +3 authors. Enhong Chen · Published in ...

Here, a theme community is a cohesive subgraph such that a common pattern is frequent in all transaction databases associated with the vertices in the subgraph.

“Finding theme communities from database networks: from mining to indexing and query answering.” ArXiv Preprint ArXiv:1709.08083, 2017. Chu L, Wang Z, Pei J, ...

Bibliographic details on Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering.

Here, a theme community is a cohesive subgraph such that a common pattern is frequent in all transaction databases associated with the vertices in the subgraph.

Finding all theme communities from a database network enjoys many novel applications. However, it is challenging since even counting the number of ...

An introduction to database systems, covering SQL and related program- ming systems. 2. A sophomore-level course in data structures, algorithms, and discrete.

The general idea is to enumerate all of the existing paths in a database up to maxL length and index them, where a path is a vertex sequence, v1,v2,...,vk, such ...