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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 9 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 9 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
14 years 9 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
14 years 9 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
CHI
2007
ACM
14 years 9 months ago
Hard lessons: effort-inducing interfaces benefit spatial learning
Interface designers normally strive for a design that minimises the user's effort. However, when the design's objective is to train users to interact with interfaces tha...
Andy Cockburn, Per Ola Kristensson, Jason Alexande...