Knowledge Discovery Process and Methods to Enhance Organizational Performance
Title By: Osei-Bryson, Kweku-Muata [Edited by] | Barclay, Corlane [Edited by]
Material type:
BookPublisher: Boca Raton, FL : CRC Press, c2015.Description: xviii, 386 p. : ill. ; 24 cm.ISBN: 978-1482212365Subject(s): COMPUTERS -- Databases -- General | Database management | Database searching | Data mining | Business -- Data processing | Business and Management| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 658.4038 KN OW (Browse shelf) | Available | T0051463 |
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| 658.4038 KN OW Knowledge management : competencies and professionalism / | 658.4038 KN OW The knowledge economy at work : skills and innovation in knowledge intensive service activities / | 658.4038 KN OW Knowledge management for sustainable development | 658.4038 KN OW Knowledge Discovery Process and Methods to Enhance Organizational Performance | 658.4038 KN OW Knowledge and project management : | 658.4038 KN OW Knowledge management for organizations / | 658.4038 KO KN Knowledge management in project-based companies : an organic perspective / |
Offering insights into the scope of data mining initiatives, this text examines their socio-economic and legal implications to stakeholders, organizations and society.
Introduction; Kweku-Muata Osei-Bryson and Corlane Barclay Overview on Knowledge Discovery via Data Mining Process Models; Sumana Sharma An Integrated Knowledge Discovery and Data Mining Process Model; Sumana Sharma and Kweku-Muata Osei-Bryson A Method for Formulating the Business Objectives of Data Mining Projects; Sumana Sharma and Kweku-Muata Osei-Bryson The Application of the Business Understanding Phase of the CRISP-DM Approach to a Knowledge Discovery Project on Education; Corlane Barclay A Context-Aware Framework for Supporting the Evaluation of Data Mining Results; Kweku-Muata Osei-Bryson Issues and Considerations in the Application of Data Mining in Business; Edward Chen The Importance of Data Quality Assurance to the Data Analysis Activities of the Data Mining Process; Patricia E. Nalwoga Lutu Critical Success Factors in Knowledge Discovery and Data Mining Projects; Corlane Barclay Data Mining in Organizations: Opportunities and Challenges for Small Developing States; Corlane Barclay Determining Sources of Relative Inefficiency in Heterogeneous Samples Using Multiple Data Analytic Techniques; Sergey Samoilenko and Kweku-Muata Osei-Bryson Applications of Data Mining in Organizational Behavior; Arash Shahin and Reza Salehzadeh Decision Making and Decision Styles of Project Managers: A Preliminary Exploration Using Data Mining Techniques; Kweku-Muata Osei-Bryson and Corlane Barclay The Application of the CRISP-DM Process in Predicting High School Students' Examination (CSEC/CXC) Performance; Corlane Barclay, Andrew Dennis, and Jerome Shepherd Post-Pruning in Decision Tree Induction Using Multiple Performance Measures; Kweku-Muata Osei-Bryson Selecting Classifiers for an Ensemble-An Integrated Ensemble Generation Procedure; Kweku-Muata Osei-Bryson A New Feature Selection Technique Applied to Credit Scoring Data Using a Rank Aggregation Approach Based on Optimization, Genetic Algorithm, and Similarity; Bouaguel Waad, Bel Mufti Ghazi, and Limam Mohamed.