Knowledge Discovery Process and Methods to Enhance Organizational Performance edited by Kweku-Muata Osei-Bryson, Corlane Barclay - Boca Raton, FL : CRC Press, c2015. - xviii, 386 p. : ill. ; 24 cm.
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.
Offering insights into the scope of data mining initiatives, this text examines their socio-economic and legal implications to stakeholders, organizations and society.
978-1482212365
COMPUTERS--Databases--General
Database management
Database searching
Data mining
Business--Data processing
Business and Management
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.
Offering insights into the scope of data mining initiatives, this text examines their socio-economic and legal implications to stakeholders, organizations and society.
978-1482212365
COMPUTERS--Databases--General
Database management
Database searching
Data mining
Business--Data processing
Business and Management