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KDD
2009
ACM
160views Data Mining» more  KDD 2009»
15 years 11 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
15 years 10 months ago
Price prediction and insurance for online auctions
Online auctions are generating a new class of fine-grained data about online transactions. This data lends itself to a variety of applications and services that can be provided to...
Rayid Ghani
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
15 years 10 months ago
Key semantics extraction by dependency tree mining
We propose a new text mining system which extracts characteristic contents from given documents. We define Key semantics as characteristic sub-structures of syntactic dependencie...
Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, ...
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 10 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
KDD
2004
ACM
213views Data Mining» more  KDD 2004»
15 years 10 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