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32 Dinasti Utsmani Muda menjalankan kekuasaan atas dasar perjanjian Islam (
biat). Semua ini sesungguhnya berarti memperbarui makna-makna sejumlah ...
This book introduces students to the overall process of systems analysis and design, and specifically shows how O-O techniques can be used. It also addresses transferable skills, such as those used in fact-finding and project management.
This book introduces students to the overall process of systems analysis and design, and specifically shows how O-O techniques can be used. It also addresses transferable skills, such as those used in fact-finding and project management.
A work which is designed to provide a clear exposition of the principles and technical procedures of cost accounting. It emphasises the role of cost accounting within a multidisciplinary approach to management and enhances the appreciation of the wide applicability of the principles and techniques of each topic. Coverage of the technical aspects of cost accounting is aimed at giving the student an in depth understanding of the topic. Chapter end questions split into self test, question with answers and questions without answers giving a study aid and including examination questions from a range of professional bodies.
European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
