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Intelligent Systems in Process Engineering, Part I: Paradigms from Product and Process Design
$207.90
$207.90
From:
Elsevier
Document Overview:
Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems.Key FeaturesSets the foundations for the development of computer-aided tools for solving a number of distinct engineering problemsExposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learningThe product of ten-years experience in integrating AI into process engineeringOffers expanded and realistic formulations of real-world problems
Handbook of Analytical Techniques in Concrete Science and Technology
$261.00
$261.00
From:
Elsevier
Document Overview:
Measuring the long-term durability of new types of concrete and concrete technologies is crucial to their acceptance in the marketplace. This long-needed handbook of analytical techniques provides a complete reference to the cutting-edge procedures used to test today's innovative materials.Ranging from chemical and thermal analysis, to IR and Nuclear Magnetic Resonance spectroscopy, to Scanning Electron Microscopy, x-ray diffraction, computer modeling and more, the book provides first-hand explanations of modern methods?contributed by 24 leading scientists, many of whom actually developed or refined the techniques. The book includes many analytic techniques, applied to a wide range of organic, inorganic and composite materials and additives.Perfect for practitioners, students, and professional standards writers, the handbook is highly useful for scrutinizing materials in a variety of environments. It takes into account the many factors that affect the qualities of concrete?temperature, pore and pore-size distribution, surface area, and exposure?gathering diverse evaluation methods into one convenient resource.
Data Mining: Know It All
$68.36
$68.36
From:
Elsevier
Document Overview:
This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology.The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining.This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints.Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions.Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.
Data Preparation for Data Mining Using SAS
$72.86
$72.86
From:
Elsevier
Document Overview:
Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find little "how to" information? And are you, like most analysts, preparing the data in SAS?This book is intended to fill this gap as your source of practical recipes. It introduces a framework for the process of data preparation for data mining, and presents the detailed implementation of each step in SAS. In addition, business applications of data mining modeling require you to deal with a large number of variables, typically hundreds if not thousands. Therefore, the book devotes several chapters to the methods of data transformation and variable selection.FEATURESA complete framework for the data preparation process, including implementation details for each step.The complete SAS implementation code, which is readily usable by professional analysts and data miners.A unique and comprehensive approach for the treatment of missing values, optimal binning, and cardinality reduction.Assumes minimal proficiency in SAS and includes a quick-start chapter on writing SAS macros.CD includes dozens of SAS macros plus the sample data and the program for the book's case study.Note: CD-ROM/DVD and other supplementary materials are not included.
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