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ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
14 years 2 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
VIS
2008
IEEE
137views Visualization» more  VIS 2008»
14 years 10 months ago
Importance-Driven Time-Varying Data Visualization
The ability to identify and present the most essential aspects of time-varying data is critically important in many areas of science and engineering. This paper introduces an impor...
Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
14 years 9 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
WWW
2008
ACM
14 years 9 months ago
Learning transportation mode from raw gps data for geographic applications on the web
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...
Yu Zheng, Like Liu, Longhao Wang, Xing Xie
BMCBI
2010
149views more  BMCBI 2010»
13 years 9 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...