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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
13 years 10 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
122
Voted
IWPC
2000
IEEE
15 years 7 months ago
A Pattern Matching Framework for Software Architecture Recovery and Restructuring
This paper presents a framework for software architecture recovery and restructuring. The user specifies a high level abstraction view of the system using a structured pattern la...
Kamran Sartipi, Kostas Kontogiannis, Farhad Mavadd...
105
Voted
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 2 months ago
Online novelty detection on temporal sequences
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Junshui Ma, Simon Perkins
AIIA
2009
Springer
15 years 9 months ago
Relational Temporal Data Mining for Wireless Sensor Networks
Wireless sensor networks (WSNs) represent a typical domain where there are complex temporal sequences of events. In this paper we propose a relational framework to model and analys...
Teresa Maria Altomare Basile, Nicola Di Mauro, Ste...
120
Voted
PAKDD
2005
ACM
117views Data Mining» more  PAKDD 2005»
15 years 8 months ago
Automatic View Selection: An Application to Image Mining
Abstract. In this paper we discuss an image mining application of Egeria detection. Egeria is a type of weed found in various lands and water regions over San Joaquin and Sacrament...
Manoranjan Dash, Deepak Kolippakkam