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SOFTWARE
2002
15 years 6 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
BPM
2003
Springer
115views Business» more  BPM 2003»
15 years 10 months ago
Mining Most Specific Workflow Models from Event-Based Data
This paper presents an approach on mining most specific workflow models from event-based data. The approach is embedded in the context of data mining and knowledge discovery in dat...
Guido Schimm
SAC
2011
ACM
14 years 9 months ago
Towards discovering criminal communities from textual data
In many criminal cases, forensically collected data contain valuable information about a suspect’s social networks. An investigator often has to manually extract information fro...
Rabeah Al-Zaidy, Benjamin C. M. Fung, Amr M. Youss...
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 10 months ago
Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases
This paper describesthe use of AI planning techniques to representscientific, image processing, and software tool knowledge to automateknowledgediscoveryanddatamining (e.g.,scienc...
Steve A. Chien, Forest Fisher, Helen Mortensen, Ed...
ADVIS
2004
Springer
15 years 11 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...