Automatic personalization based on Web usage mining
Communications of the ACM
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Smart Homecare System for Health Tele-monitoring
ICDS '07 Proceedings of the First International Conference on the Digital Society
Data & Knowledge Engineering
Embedded Wireless Homecare Monitoring System
ETELEMED '09 Proceedings of the 2009 International Conference on eHealth, Telemedicine, and Social Medicine
COWES: Web user clustering based on evolutionary web sessions
Data & Knowledge Engineering
A web page usage prediction scheme using sequence indexing and clustering techniques
Data & Knowledge Engineering
Mining Web navigation patterns with a path traversal graph
Expert Systems with Applications: An International Journal
Discovering better navigation sequences for the session construction problem
Data & Knowledge Engineering
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com
Expert Systems with Applications: An International Journal
Wireless Health Care Service System for Elderly With Dementia
IEEE Transactions on Information Technology in Biomedicine
Health-status monitoring through analysis of behavioral patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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The rapid growth of the elderly population has increased the need to support elders in maintaining independent and healthy lifestyles in their homes rather than through more expensive and isolated care facilities. Self-care can improve the competence of elderly participants in managing their own health conditions without leaving home. This main purpose of this study is to understand the self-care behavior of elderly participants in a developed self-care service system that provides self-care service and to analyze the daily self-care activities and health status of elders who live at home alone. To understand elder self-care patterns, log data from actual cases of elder self-care service were collected and analysed by Web usage mining. This study analysed 3391 sessions of 157 elders for the month of March, 2012. First, self-care use cycle, time, function numbers, and the depth and extent (range) of services were statistically analysed. Association rules were then used for data mining to find relationship between these functions of self-care behavior. Second, data from interest-based representation schemes were used to construct elder sessions. The ART2-enhance K-mean algorithm was then used to mine cluster patterns. Finally, sequential profiles for elder self-care behavior patterns were captured by applying sequence-based representation schemes in association with Markov models and ART2-enhanced K-mean clustering algorithms for sequence behavior mining cluster patterns for the elders. The analysis results can be used for research in medicine, public health, nursing and psychology and for policy-making in the health care domain.