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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 7 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
16 years 1 days ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
KDD
2004
ACM
213views Data Mining» more  KDD 2004»
15 years 12 months ago
Analytical view of business data
This paper describes a logical extension to Microsoft Business Framework (MBF) called Analytical View (AV). AV consists of three components: Model Service for design time, Busines...
Adam Yeh, Jonathan Tang, Youxuan Jin, Sam Skrivan
ADC
2003
Springer
182views Database» more  ADC 2003»
15 years 11 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
AC
1999
Springer
15 years 11 months ago
The University Student Registration System: A Case Study in Building a High-Availability Distributed Application Using General P
Prior to 1994, student registration at Newcastle University involved students being registered in a single place, where they would present a form which had previously been filled ...
Mark C. Little, Stuart M. Wheater, David B. Ingham...