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SIGKDD

Known as: Conference on Knowledge Discovery and Data Mining, KDD Conference 
SIGKDD is the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining. It became an official… 
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Related topics

Related topics

9 relations
BIOSTECBing LiuChristos FaloutsosMicrosoft Research

Broader (1)

Data mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Diversified top-k clique search
Maximal clique enumeration is a fundamental problem in graph theory and has been extensively studied. However, maximal clique… 
Highly Cited
2014
Highly Cited
2014
Feature selection and intrusion classification in NSL-KDD cup 99 dataset employing SVMs
Intrusion is the violation of information security policy by malicious activities. Intrusion detection (ID) is a series of… 
Review
2014
Review
2014
An Introduction to Question Answering over Linked Data
While the amount of knowledge available as linked data grows, so does the need for providing end users with access to this… 
Highly Cited
2009
Highly Cited
2009
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and… 
Highly Cited
2007
Highly Cited
2007
Data Mining in E-Learning
This chapter presents an innovative approach for performing data mining on documents, which serves as a basis for knowledge… 
Review
2005
Review
2005
Problems , Methods , and Challenges in Comprehensive Data Cleansing
Cleansing data from impurities is an integral part of data processing and maintenance. This has lead to the development of a… 
Highly Cited
2005
Highly Cited
2005
Mining Web logs to improve hit ratios of prefetching and caching
In the Internet, proxy servers play the key roles between users and Web sites, which could reduce the response time of user… 
Highly Cited
2004
Highly Cited
2004
Mining Positive and Negative Association Rules: An Approach for Confined Rules
Typical association rules consider only items enumerated in transactions. Such rules are referred to as positive association… 
Review
2003
Review
2003
Association Rule Mining: A Survey
Data mining [Chen et al. 1996] is the process of extracting interesting (non-trivial, implicit, previously unknown and… 
Highly Cited
1997
Highly Cited
1997
Learning to Extract Text-Based Information from the World Wide Web
There is a wealth of information to be mined from narrative text on the World Wide Web. Unfortunately, standard natural language… 
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