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KDD
1998
ACM
165views Data Mining» more  KDD 1998»
14 years 1 days ago
Daily Prediction of Major Stock Indices from Textual WWW Data
We predict stock markets using information containedin articles published on the Web. Mostly textual articles appearingin the leading and the most influential financial newspapers...
Beat Wüthrich, D. Permunetilleke, S. Leung, V...
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
13 years 11 months ago
Connecting the dots between news articles
The process of extracting useful knowledge from large datasets has become one of the most pressing problems in today’s society. The problem spans entire sectors, from scientists...
Dafna Shahaf, Carlos Guestrin
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
13 years 11 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
AAAI
2007
13 years 10 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...