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BIOCOMP
2009
15 years 6 months ago
Monitoring Influenza Trends through Mining Social Media
Analysis of Google Influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Center for Disease Control and Prevention seasonal ILI reporting data. W...
Courtney Corley, Armin R. Mikler, Karan P. Singh, ...
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
16 years 5 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
ACL
2010
15 years 3 months ago
Hunting for the Black Swan: Risk Mining from Text
In the business world, analyzing and dealing with risk permeates all decisions and actions. However, to date, risk identification, the first step in the risk management cycle, has...
Jochen L. Leidner, Frank Schilder
127
Voted
KDD
1998
ACM
118views Data Mining» more  KDD 1998»
15 years 9 months ago
A Belief-Driven Method for Discovering Unexpected Patterns
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
Balaji Padmanabhan, Alexander Tuzhilin
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 8 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...