Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Database-like query processing over a network of sensors has become an attractive paradigm for building sensor applications. A sensor query is characterized by data streams among ...
Vladimir Zadorozhny, Panos K. Chrysanthis, Alexand...
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Given a set D = {d1, d2, ..., dD} of D strings of total length n, our task is to report the "most relevant" strings for a given query pattern P. This involves somewhat mo...