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» Discovering Trends in Text Databases
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KDD
1998
ACM
160views Data Mining» more  KDD 1998»
14 years 3 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
DAS
2008
Springer
14 years 19 days ago
Exploring Evolutionary Technical Trends from Academic Research Papers
Automatic Term Recognition (ATR) is concerned with discovering terminology in large volumes of text corpora. Technical terms are vital elements for understanding the techniques us...
Teng-Kai Fan, Chia-Hui Chang
WWW
2004
ACM
14 years 11 months ago
Graph-based text database for knowledge discovery
While we expect to discover knowledge in the texts available on the Web, such discovery usually requires many complex analysis steps, most of which require different text handling...
Junji Tomita, Hidekazu Nakawatase, Megumi Ishii
SAC
2011
ACM
13 years 1 months ago
Towards discovering criminal communities from textual data
In many criminal cases, forensically collected data contain valuable information about a suspect’s social networks. An investigator often has to manually extract information fro...
Rabeah Al-Zaidy, Benjamin C. M. Fung, Amr M. Youss...
ISSRE
2010
IEEE
13 years 9 months ago
Security Trend Analysis with CVE Topic Models
—We study the vulnerability reports in the Common Vulnerability and Exposures (CVE) database by using topic models on their description texts to find prevalent vulnerability typ...
Stephan Neuhaus, Thomas Zimmermann