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Kaidi Zhao 的论文(13) 排序方式:
Transferring topical knowledge from auxiliary long texts for short text clustering  
With the rapid growth of social Web applications such as Twitter and online advertisements, the task of understanding short texts is becoming more and more important. Most traditional text mining tech......
International Conference on Information and Knowledge Management  2011
5次引用 0 0
Efficient algorithms based on relational queries to mine frequent graphs  
Frequent subgraph mining is an important problem in data mining with wide application in science. For instance, graphs can be used to represent structural relationships in problems related to network ......
International Conference on Information and Knowledge Management  2010
2次引用 0 0
SELC: a self-supervised model for sentiment classification  
This paper presents the SELC Model (SElf-Supervised, (Lexicon-based and (Corpus-based Model) for sentiment classification. The SELC Model includes two phases. The first phase is a lexicon-based iterat......
International Conference on Information and Knowledge Management  2009
5次引用 0 0
Rule interestingness analysis using OLAP operations  
The problem of interestingness of discovered rules has been investigated by many researchers. The issue is that data mining algorithms often generate too many rules, which make it very hard for the us......
Knowledge Discovery and Data Mining  2006
13次引用 0 0
Opportunity map: identifying causes of failure - a deployed data mining system  
In this paper, we report a deployed data mining application system for Motorola. Originally, its intended use was for identifying causes of cellular phone failures, but it has been found to be useful ......
Knowledge Discovery and Data Mining  2006
2次引用 0 0
Opportunity map: a visualization framework for fast identification of actionable knowledge  
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interesting and actionable r......
International Conference on Information and Knowledge Management  2005
2次引用 0 0
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge  
Data mining algorithms usually generate a large number of rules, which may not always be useful to human users. In this project, we propose a novel visual data-mining framework, called Opportunity Map......
Int. Conf. on Data Mining  2005
18次引用 0 0
V-Miner: using enhanced parallel coordinates to mine product design and test data  
Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordinate visualization. P......
Knowledge Discovery and Data Mining  2004
7次引用 0 0
Moment generation in wheelchair propulsion  
Proceedings of The Institution of Mechanical Engineers Part H-journal of Engineering in Medicine  2003
1次引用 0 0
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization  
Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. We propose a new technique based on parallel coordinates visualization. Previ......
Int. Conf. on Data Mining  2003
4次引用 0 0

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