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KDD
2007
ACM
151views Data Mining» more  KDD 2007»
14 years 9 months ago
Efficient mining of iterative patterns for software specification discovery
Studies have shown that program comprehension takes up to 45% of software development costs. Such high costs are caused by the lack-of documented specification and further aggrava...
Chao Liu 0001, David Lo, Siau-Cheng Khoo
CAISE
2004
Springer
14 years 2 months ago
Business Alignment: Using Process Mining as a Tool for Delta Analysis
Fueled by the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM, and B2B systems), process mining has become a vivid research area. Until rece...
Wil M. P. van der Aalst
HICSS
2007
IEEE
134views Biometrics» more  HICSS 2007»
14 years 3 months ago
Exploring the Clinical Notes of Pathology Ordering by Australian General Practitioners: a text mining perspective
A massive rise in the number and expenditure of pathology ordering by general practitioners (GPs) concerns the government and attracts various studies with the aim to understand a...
Zoe Yan Zhuang, Rasika Amarasiri, Leonid Churilov,...
ADMI
2010
Springer
13 years 8 months ago
Real-Time Sensory Pattern Mining for Autonomous Agents
Abstract. Autonomous agents are systems situated in dynamic environments. They pursue goals and satisfy their needs by responding to external events from the environment. In these ...
Pedro Sequeira, Cláudia Antunes
KDD
2010
ACM
232views Data Mining» more  KDD 2010»
14 years 28 days ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...