Bohlouli, Mahdi: Statistical regeneration and scalable clustering of big data using MapReduce in the Hadoop ecosystem : a case study of competence management in the computer [...]Statistische Regenerierung und skalierbares Clustering von Big Data mit MapReduce im Hadoop Ökosystem. 2016
Inhalt
- Abstract
- Zusammenfassung
- Publications of this Dissertation
- Contents
- List of Figures
- List of Tables
- 1. Introduction and Objectives
- 1.1 Motivation and Defining the Problem
- 1.2 Vision and Objectives
- 1.2.1 Mathematical Profiling and Clustering of CK
- 1.2.2 Mathematical Modeling and Regeneration of Data
- 1.2.3 Scalable Matching, Recommendation and Analysis in the Career Knowledge Management
- 1.3 How Objectives will be Achieved?
- 1.4 Conclusion and Dissertation Road-map
- 2. Background Information and Related Work
- 2.1 Competence Management
- 2.2 Scalable Data Analytics (Big Data)
- 2.2.1 Architectures Providing Scalability
- 2.2.2 Scalable Database Technologies
- 2.2.3 Scalability and Decision Support Systems
- 2.3 Contribution to Science beyond state-of-the-art
- 2.4 Conclusion of the Chapter
- 3. Career Knowledge (CK) Profiling and Representation
- 3.1 Career Knowledge Reference (CKR) Model
- 3.2 The Theory of Profiling Career Knowledge
- 3.3 CKR Model in Academic Computer Science Career
- 3.4 Conclusion of the Chapter
- 4. Mathematical Modeling, Interpretation and Regeneration of CK Data
- 4.1 Clustering of CK Data
- 4.2 Mathematical Models and simulation of Competences
- 4.3 Data Streaming and Retrieval from Digital Sources (Web)
- 4.4 Conclusion of the Chapter
- 5. Scalable Data Analysis and Clustering
- 5.1 Hybrid Clustering and Matching Approach
- 5.2 Scalable Matching and Clustering of Talent and Job Profiles
- 5.2.1 Pre-Processing of the Streamed Bibliographic Data
- 5.2.2 Computing Scientific Competence Factor of Talents
- 5.2.3 Active Influence Scientometric of Talents
- 5.2.4 Scalable Clustering of Talents based on Quality Measures
- 5.2.5 Matching Clustered Talent Profiles with the Job Profile
- 5.3 Matching Identified Gaps and Development Profiles
- 5.3.1 Identification of Competence Gaps (Goals)
- 5.3.2 Recommending Competence Improvement Solutions through Matching
- 5.4 Conclusion of the Chapter
- 6. Evaluation of the Results
- 7. Discussion and Outlook
- Bibliography
- Appendix A: Summary of the Literature Analysis
- Appendix B: List of Supervised Theses
- List of Abbreviations