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KDD
2007
ACM
181views Data Mining» more  KDD 2007»
16 years 6 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
VISSYM
2007
15 years 8 months ago
Relevance Driven Visualization of Financial Performance Measures
Visual data analysis has received a lot of research interest in recent years, and a wide variety of new visualization techniques and applications have been developed to improve in...
Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim
BMCBI
2007
121views more  BMCBI 2007»
15 years 6 months ago
e-Science and biological pathway semantics
Background: The development of e-Science presents a major set of opportunities and challenges for the future progress of biological and life scientific research. Major new tools a...
Joanne S. Luciano, Robert D. Stevens
KDD
2012
ACM
202views Data Mining» more  KDD 2012»
13 years 8 months ago
UFIMT: an uncertain frequent itemset mining toolbox
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
Yongxin Tong, Lei Chen 0002, Philip S. Yu
GI
2009
Springer
15 years 3 months ago
Automated GUI Testing Validation guided by Annotated Use Cases
Abstract: This paper presents a new approach to Automatic GUI Test Case Generation and Validation: a use case-guided technique to reduce the effort required in GUI modeling and tes...
Pedro Luis Mateo Navarro, Diego Sevilla Ruiz, Greg...