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Mathematical Tools For Data Mining
RRP $519.99
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.
RRP $338.99
The interaction between accounting, company law, and taxation is a key issue in corporate regulation. These three areas have differing kinds of regulations with different objectives and varied techniques of regulation and interpretation. Moreover, views on all of these factors vary from country to country.How these fields interact has significant ramifications. It affects the future development of both accounting regulation and tax law and raises the possibility of international double taxation. These potential effects suggest the need not only for better analysis in this area but also for a harmonised international view. The Influence of Corporate Law and Accounting Principles in Determining Taxable Income takes a thoughtful look at several components of this key debate. The papers included offer insights into the different paths taken on the various issues by selected countries, cites problems, and offers proposals for the future. Tax and corporate law practitioners, policymakers, and academics will appreciate the insightful and thought-provoking quality of this work.
Data Mining And Knowledge Discovery With Evolutionary Algorithms
RRP $42.95
This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search."
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Mining Jobs No Experience Books
| Mining Job | Coal Mine | Jobs | Mining |
| Australia | Coal | Iron Ore | Truck Driving |
Mining Jobs No Experience