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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 16 days 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
IWPC
2000
IEEE
15 years 9 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...
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 5 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 11 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...
PAKDD
2005
ACM
117views Data Mining» more  PAKDD 2005»
15 years 10 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