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Emerging technologies of text mining : techniques and applications
Prado, Hercules Antonio do (contributor);  … - 2008
clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage … and Wu Man Qi -- Chapter 9. Conceptual clustering of textual documents and some insights for knowledge discovery / Leandro … rankings / Patricia Bintzler Cerrito -- Chapter 14. An interpretation process for clustering analysis based on the ontology of …
Persistent link: https://www.econbiz.de/10011726062
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Text mining techniques for healthcare provider quality determination : methods for rank comparisons
Cerrito, Patricia B. - 2010
1. Introduction to ranking models -- 2. Data visualization and data summary -- 3. Statistical methods -- 4. Predictive modeling versus regression -- 5. The Charleston Comorbidity Index -- 6. The all patient refined diagnosis related group -- 7. Risk adjustment based upon resource utilization --...
Persistent link: https://www.econbiz.de/10011726645
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Business applications and computational intelligence
Voges, Kevin E. (contributor); Pope, Nigel (contributor) - 2006
Zhang, Martin Helander -- 13. Visual grouping of association rules by clustering conditional probabilities for categorical …
Persistent link: https://www.econbiz.de/10011725851
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Nature-inspired informatics for intelligent applications and knowledge discovery : implications in business, science, and engineering
Chiong, Raymond (contributor) - 2010
From the Real Ant to the Artificial Ant: Applications in Combinatorial Optimization, Data Clustering, Collective …
Persistent link: https://www.econbiz.de/10011726466
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Utilizing big data paradigms for business intelligence
Darmont, Jâerãome (ed.); Loudcher, Sabine (ed.) - 2018
"This book explores problems related to the five "Vs" of big data, technological issues, as well as big data analytics applications. It also covers how data must be extracted, grouped, organized, aggregated and correlated with methods and techniques such as data integration (ETL), data...
Persistent link: https://www.econbiz.de/10012393209
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Nature-inspired algorithms for big data frameworks
Banati, Hema (ed.); Mehta, Shikha (ed.); Kaur, Parmeet (ed.) - 2018
inspired intelligence ; Chapter 3. Subspace clustering of high dimensional data using differential evolution ; Chapter 4 …
Persistent link: https://www.econbiz.de/10012393259
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Extracting knowledge from opinion mining
Agrawal, Rashmi (ed.); Gupta, Neha (ed.) - 2018
"This book covers the key topics of opinion mining and sentiment analysis. It includes future trends and research directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep learning and opinion spam detection. The book also includes...
Persistent link: https://www.econbiz.de/10012393274
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Web information systems
Taniar, David (contributor);  … - 2004
The Internet is already more widely deployed than any other computing system in history and continues to grow rapidly. New technologies, including high speed wide area network and improved software support for distribution, promise to make the Internet much more useful for general purpose...
Persistent link: https://www.econbiz.de/10011726694
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Web mining : applications and techniques
Scime, Anthony (contributor) - 2005
Thelwall -- XI. Extracting and customizing information using multi-agents / Mohamed Hamdi -- XII. Web graph clustering for …
Persistent link: https://www.econbiz.de/10011726695
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Intelligent techniques for warehousing and mining sensor network data
Cuzzocrea, Alfredo (contributor) - 2010
/ Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia -- 9. Peer-to-peer data clustering in self-organizing sensor networks …
Persistent link: https://www.econbiz.de/10011726728