• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 18 matches

• 2015
• 
  Hai-Long Nguyen, Yew-Kwong Woon, Wee Keong Ng:
  A survey on data stream clustering and classification. Knowl. Inf. Syst. 45(3): 535-569 (2015)
• 2014
• 
  Hai-Long Nguyen, Wee Keong Ng, Yew-Kwong Woon:
  Closed motifs for streaming time series classification. Knowl. Inf. Syst. 41(1): 101-125 (2014)
• 
  Hong Cao, Chunyu Bao, Xiaoli Li, David Yew-Kwong Woon:
  Class Augmented Active Learning. SDM 2014: 1-9
• 2013
• 
  Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng:
  Integrated Oversampling for Imbalanced Time Series Classification. IEEE Trans. Knowl. Data Eng. 25(12): 2809-2822 (2013)
• 
  Hai-Long Nguyen, Wee Keong Ng, Yew-Kwong Woon:
  Concurrent Semi-supervised Learning with Active Learning of Data Streams. Trans. Large Scale Data Knowl. Centered Syst. 8: 113-136 (2013)
• 2012
• 
  Hai-Long Nguyen, Yew-Kwong Woon, Wee Keong Ng, Li Wan:
  Heterogeneous Ensemble for Feature Drifts in Data Streams. PAKDD (2) 2012: 1-12
• 2011
• 
  Hai-Long Nguyen, Wee Keong Ng, Yew-Kwong Woon, Duc H. Tran:
  Concurrent Semi-supervised Learning of Data Streams. DaWaK 2011: 445-459
• 
  Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng:
  SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification. ICDM 2011: 1008-1013
• 2010
• 
  Murugan Ayyappan, Yew-Kwong Woon, Wee Keong Ng:
  MICHO: a scalable constraint-based algorithm for learning Bayesian networks. SAC 2010: 985-989
• 2009
• 
  Yew-Kwong Woon:
  Association Rule Mining. Encyclopedia of Data Warehousing and Mining 2009: 76-82
• 2005
• 
  David Yew-Kwong Woon:
  Support-ordered trie for accelerating association rule mining, web usage mining and clustering. Nanyang Technological University, Singapore, 2005
• 2004
• 
  Yew Kwong Woon, Wee Keong Ng, Ee-Peng Lim:
  A Support-Ordered Trie for Fast Frequent Itemset Discovery. IEEE Trans. Knowl. Data Eng. 16(7): 875-879 (2004)
• 2003
• 
  Yew Kwong Woon, Wee Keong Ng, Xiang Li, Wen-Feng Lu:
  Efficient Web Log Mining for Product Development. CW 2003: 294-301
• 
  Yew Kwong Woon, Xiang Li, Wee Keong Ng, Wen-Feng Lu:
  Parameterless Data Compression and Noise Filtering Using Association Rule Mining. DaWaK 2003: 278-287
• 2002
• 
  Yew Kwong Woon, Wee Keong Ng, Ee-Peng Lim:
  Online and Incremental Mining of Separately-Grouped Web Access Logs. WISE 2002: 53-62
• 
  Yew Kwong Woon, Wee Keong Ng, Ee-Peng Lim:
  Evaluating Web Access Log Mining Algorithms: A Cognitive Approach. WISE Workshops 2002: 217-222
• 2001
• 
  Amitabha Das, Wee Keong Ng, Yew Kwong Woon:
  Rapid Association Rule Mining. CIKM 2001: 474-481
• 
  Yew Kwong Woon, Wee Keong Ng, Amitabha Das:
  Fast Online Dynamic Association Rule Mining. WISE (1) 2001: 278-287