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KDD
2008
ACM
207views Data Mining» more  KDD 2008»
14 years 8 months ago
Active learning with direct query construction
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
Charles X. Ling, Jun Du
ACSC
2001
IEEE
13 years 11 months ago
Optimised Phrase Querying and Browsing of Large Text Databases
Most search systems for querying large document collections---for example, web search engines---are based on well-understood information retrieval principles
Dirk Bahle, Hugh E. Williams, Justin Zobel
WWW
2007
ACM
14 years 8 months ago
Optimized query planning of continuous aggregation queries in dynamic data dissemination networks
Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of some ...
Rajeev Gupta, Krithi Ramamritham
TKDE
2012
487views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Query Planning for Continuous Aggregation Queries over a Network of Data Aggregators
—Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of som...
Rajeev Gupta, Krithi Ramamritham
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
14 years 2 months ago
Active Learning with Generalized Queries
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Jun Du, Charles X. Ling