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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
16 years 7 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 7 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
16 years 7 months ago
Mining from open answers in questionnaire data
Surveys are an important part of marketing and customer relationship management, and open answers (i.e., answers to open questions) in particular may contain valuable information ...
Hang Li, Kenji Yamanishi
CHI
2007
ACM
16 years 7 months ago
An alternative to push, press, and tap-tap-tap: gesturing on an isometric joystick for mobile phone text entry
A gestural text entry method for mobile is presented. Unlike most mobile phone text entry methods, which rely on repeatedly pressing buttons, our gestural method uses an isometric...
Jacob O. Wobbrock, Duen Horng Chau, Brad A. Myers