All counter of AlamanShop


George Fernandez
Data Mining Using SAS Applications

y.
Publisher:
Description: Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful yet user-friendly SAS macro-call files. These methods stress the use of visualization to thoroughly study the structure of data and check the validity of statistical models fitted to data.`Learn how to convert PC databasesto SAS data`Discover sampling techniques to create training and validation samples`Understand frequency data analysis for categorical data`Explore supervised and unsupervised learning`Master exploratory graphical techniques`Acquire model validation techniques in regression and classificationThe text furnishes 13 easy-to-use SAS data mining macros designed to work with the standard SAS modules. No additional modules or previous experience in SAS programming is required. The author shows [detailed...]

ISBN: 1584883456
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Randall Matignon
Data Mining Using SAS Enterprise Miner

2007 y.
Publisher:
Description: Data Mining Using SASA Enterprise Miner introduces the reader to a wide variety of data mining techniques in SASA Enterprise Miner. This first-of-a-kind book explains the purpose of -- and reasoning behind -- every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis. Each chapter starts with a short introduction to the assortment of statistics that are generated from the various Enterprise Miner nodes, followed by detailed explanations of configuration settings that are located within each node. The end result of the authors meticulous presentation is a well crafted study guide on the various methods that one employs to both randomly sample and partition data within the process flow of SASA Enterprise Miner. [detailed...]

ISBN: 0470149019
Book size: ; Page extent: 584.

 

PUT TO
THE BASKET
Jesus Mena
Data Mining Your Website

y.
Publisher:
Description: [detailed...]

ISBN: 1555582222
Book size: ; Page extent: .

 

PUT TO
THE BASKET

Data Mining and Bioinformatics: First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers (Lecture Notes in Computer Science)

2007 y.
Publisher:
Description: This book constitutes the thoroughly refereed post-proceedings of the First VLDB 2006 International Workshop on Data Mining and Bioinformatics, VDMB 2006, held in Seoul, Korea in September 2006 in conjunction with VLDB 2006. The 15 revised full papers presented together with an invited talk were carefully reviewed and selected from 30 submissions. The papers cover various topics in the areas of microarray data analysis, bioinformatics system and text retrieval, application of gene expression data, and sequence analysis. [detailed...]

ISBN: 3540689702
Book size: ; Page extent: 197.

 

PUT TO
THE BASKET
Stephan Kudyba, Richard Hoptroff
Data Mining and Business Intelligence: A Guide to Productivity

y.
Publisher:
Description: Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems, which enhance firm-level efficiency in a less technical, more managerial style. The book incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various applications that promotes efficiency for the firm. [detailed...]

ISBN: 1930708033
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Abraham Kandel, Mark Last, Horst Bunke
Data Mining and Computational Intelligence (Studies in Fuzziness and Soft Computing, Vol. 68)

y.
Publisher:
Description: [detailed...]

ISBN: 3790813710
Book size: ; Page extent: 0.

 

PUT TO
THE BASKET
Dunja Mladenic, Nada Lavrac, Marko Bohanec, Steve Moyle
Data Mining and Decision Support: Integration and Collaboration (Kluwer International Series in Engineering and Computer Science, Secs 745)

y.
Publisher:
Description: [detailed...]

ISBN: 1402073887
Book size: ; Page extent: 0.

 

PUT TO
THE BASKET
Alex A. Freitas, G. Rozenberg
Data Mining and Knowledge Discovery with Evolutionary Algorithms

y.
Publisher:
Description: This book presents a comprehensive review of basic concepts on both data mining and evolutionary algorithms and discusses significant advances in the integration of these two areas. The authors emphasize the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. 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. 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. [detailed...]

ISBN: 3540433317
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Panos M. Pardalos and Pierre Hansen
Data Mining and Mathematical Programming (Crm Proceedings &, Lecture Notes)

2008 y.
Publisher:
Description: Data mining aims at finding interesting, useful or profitable information in very large databases. The enormous increase in the size of available scientific and commercial databases (data avalanche) as well as the continuing and exponential growth in performance of present day computers make data mining a very active field. In many cases, the burgeoning volume of data sets has grown so large that it threatens to overwhelm rather than enlighten scientists. Therefore, traditional methods are revised and streamlined, complemented by many new methods to address challenging new problems. Mathematical Programming plays a key role in this endeavor. It helps us to formulate precise objectives (e.g., a clustering criterion or a measure of discrimination) as well as the constraints imposed on the solution (e.g., find a partition, a covering or a hierarchy in clustering). It also provides powerful mathematical tools to build highly performing exact or approximate algorithms. This book is based [detailed...]

ISBN: 0821843524
Book size: ; Page extent: 234.

 

PUT TO
THE BASKET
Zhengxin Chen
Data Mining and Uncertain Reasoning: An Integrated Approach

y.
Publisher:
Description: An expert guide for applying data mining with uncertain reasoning to a wide range of uses This volume presents a holistic view of data mining by integrating this diverse and exciting field with uncertain reasoning. It treats a wide range of issues and examines the state of the art in both fields while summarizing vital concepts that can normally only be found in various separate resources. The author concentrates on practical aspects of data mining-such as infrastructure and overall processes-but also discusses some selected algorithms and performance-related issues. Several important topics are addressed specifically, such as bridging the fields of machine learning and data mining and the discovery of influential association rules. In addition, the author discusses data warehousing as an enabling technique for data mining. Case studies are included throughout to illustrate important concepts. Data Mining and Uncertain Reasoning is a practical [detailed...]

ISBN: 0471388785
Book size: ; Page extent: 0.

 

PUT TO
THE BASKET
Jean-Marc Adamo
Data Mining for Association Rules and Sequential Patterns: Sequential and Parallel Algorithms

y.
Publisher:
Description: Recent advances in the data collection and storage technologies have made it possible for companies (e.g. bar-code technology), administrative agencies (e.g. census data) and scientific laboratories (e.g. molecule databases in chemistry or biology) to keep vast amounts of data relating to their activities. At the same time, the availability of cheap computing power has made automatic extraction of structured knowledge from these data feasible. Such an activity is referred to as data mining. More recently, the advent on the marketplace of cheap high performance (gigabit level) communication switches is even placing cheap parallel data mining within the reach of the majority. Data mining includes such activities as classification, clustering, similarity analysis, summarization, association rule and sequential pattern discovery, and so forth. This state-of-the-art monograph focuses on two key topics: association rules and sequential pattern discovery. [detailed...]

ISBN: 0387950486
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Dan Braha
Data Mining for Design and Manufacturing: Methods and Applications (MASSIVE COMPUTING)

y.
Publisher:
Description: Data Mining for Design and Manufacturing: Methods and Applications is the first book that brings together research and applications for data mining within design and manufacturing. The aim of the book is 1) to clarify the integration of data mining in engineering design and manufacturing, 2) to present a wide range of domains to which data mining can be applied, 3) to demonstrate the essential need for symbiotic collaboration of expertise in design and manufacturing, data mining, and information technology, and 4) to illustrate how to overcome central problems in design and manufacturing environments. The book also presents formal tools required to extract valuable information from design and manufacturing data, and facilitates interdisciplinary problem solving for enhanced decision making. Audience: The book is aimed at both academic and practising audiences. It can serve as a reference or textbook for senior or graduate level students in Engineering, Computer, and Management [detailed...]

ISBN: 1402000340
Book size: ; Page extent: 0.

 

PUT TO
THE BASKET
Yukio Ohsawa, Katsutoshi Yada
Data Mining for Design and Marketing (Chapman &, Hall/CRC Data Mining and Knowledge Discovery Series)

2009 y.
Publisher:
Description: Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems. The expert contributors discuss how data mining can identify valuable consumer patterns, which aid marketers and designers in detecting consumers needs. They also explore visualization tools based on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an adjacency matrix are just some of the novel approaches covered. The book explains how these methods can be applied to website design, the retrieval of scientific articles from a database, personalized e-commerce support tools, and more. Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and services. By embracing data mining tools, businesses [detailed...]

ISBN: 1420070193
Book size: ; Page extent: 344.

 

PUT TO
THE BASKET
Jing Luan, Chun-Mei Zhao
Data Mining in Action: Case Studies of Enrollment Management: New Directions for Institutional Research, Volume 131 (J-B IR Single Issue Institutional Research)

2006 y.
Publisher:
Description: - [detailed...]

ISBN: 078799426X
Book size: ; Page extent: 136.

 

PUT TO
THE BASKET

Data Mining in Bioinformatics (Advanced Information and Knowledge Processing)

2004 y.
Publisher:
Description: Book DescriptionThe goal of this book is to help readers understand state-of-the-art techniques in biological data mining and data management and includes topics such as: - preprocessing tasks such as data cleaning and data integration as applied to biological data - classification and clustering techniques for microarrays - comparison of RNA structures based on string properties and energetics - discovery of the sequence characteristics of different partsof the genome - mining of haplotypes to find disease markers - sequencing of events leading to the folding of a protein - inference of the subcellular location of protein activity - classification of chemical compounds based on structure - special purpose metrics and index structures for phylogenetic applications - a new query language for protein searching based on the shape of proteins - very fast indexing schemes for sequences and [detailed...]

ISBN: 1852336714
Book size: ; Page extent: 340.

 

PUT TO
THE BASKET

Data Mining in Biomedicine (Springer Optimization and Its Applications)

2007 y.
Publisher:
Description: - [detailed...]

ISBN: 0387693181
Book size: ; Page extent: 596.

 

PUT TO
THE BASKET

Data Mining in E-learning (Advances in Management Information)

2006 y.
Publisher:
Description: The development of e-learning systems, particularly web-based education systems, has increased exponentially in recent years. In the last years, researchers have begun to investigate various data mining methods to help teachers improve e-learning systems. These methods allow them to discover new knowledge based on students` usage data. Following this line, one of the most promising areas is the application of knowledge extraction. As one of the first of its kind, this book presents an introduction to e-learning systems, data mining concepts and the interaction between both areas. It consists of both openly solicited and invited chapters, written by international researchers and leading experts on the application of data mining techniques in e-learning systems. The main purpose of this book is to show the current state of this research area. It includes an introduction to e-learning systems, data mining and the interaction between areas, as well as several case studies and [detailed...]

ISBN: 1845641523
Book size: ; Page extent: 300.

 

PUT TO
THE BASKET
Boris Kovalerchuk, Evgenii Vityaev
Data Mining in Finance: Advances in Relational and Hybrid Methods (Kluwer International Series in Engineering and Computer Science, 547)

y.
Publisher:
Description: Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. Relational data mining also has a better ability to explain the discovered rules -- an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined isvery large. The earlier algorithms for relational data mining, also known as inductive logic programming (ILP), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data. Data Mining [detailed...]

ISBN: 0792378040
Book size: ; Page extent: .

 

PUT TO
THE BASKET
P. Perner, Petra Perner
Data Mining on Multimedia Data (Lecture Notes in Computer Science, 2558)

y.
Publisher:
Description: Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from huge collections of structured digital data collection as usually stored in databases. Whereas data mining was done in early days primarily on numerical data, nowadays multimedia and Internet applications drive the need to develop data mining methods and techniques that can work on all kinds of data such as documents, images, and signals. This book introduces the basic concepts of mining multimedia data and demonstrates how to apply these methods in various application fields. It is written for students, ambitioned professionals from industry and medicine, and for scientists who want to contribute R&,D work to the field or apply this new technology. [detailed...]

ISBN: 3540003177
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Lipo Wang
Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)

2005 y.
Publisher:
Description: Book DescriptionFinding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others. Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptronneural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications. They focus on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. The book is targeted at researchers in both academia and industry, while graduate students and developers of data mining systems will also profit from the detailed algorithmic descriptions. [detailed...]

ISBN: 3540245227
Book size: ; Page extent: 276.

 

PUT TO
THE BASKET
Tsau Y. Lin, T. Y. Lin, Yiyu Yao, Lotfi Asker Zadeh
Data Mining, Rough Sets and Granular Computing

y.
Publisher:
Description: This volume is the result of a two-year project aimed at coalescing the concepts and techniques of granular computing on one side, and rough set theory on another. It consists of a collection of up-to-date and authoritative expositions of the basic theories underlying data mining, granular computing and rough set theory, and stresses their wide-ranging applications. A principal aim of the work is to stimulate an exploration of ways in which progress in data mining can be enhanced through integration withgranular computing and rough set theory. [detailed...]

ISBN: 379081461X
Book size: ; Page extent: 0.

 

PUT TO
THE BASKET
Richard Roiger, Michael Geatz
Data Mining: A Tutorial Based Primer

y.
Publisher:
Description: [detailed...]

ISBN: 0201741288
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Robert Groth
Data Mining: Building Competitive Advantage

y.
Publisher:
Description: [detailed...]

ISBN: 0130862711
Book size: ; Page extent: .

 

PUT TO
THE BASKET

Data Mining: Foundations and Practice (Studies in Computational Intelligence)

2008 y.
Publisher:
Description: This book contains valuable studies in data mining from both foundational and practical perspectives. The foundational studies of data mining may help to lay a solid foundation for data mining as a scientific discipline, while the practical studies of data mining may lead to new data mining paradigms and algorithms. The foundational studies contained in this book focus on a broad range of subjects, including conceptual framework of data mining, data preprocessing and data mining as generalization, probability theory perspective on fuzzy systems, rough set methodology on missing values, inexact multiple-grained causal complexes, complexity of the privacy problem, logical framework for template creation and information extraction, classes of association rules, pseudo statistical independence in a contingency table, and role of sample size and determinants in granularity of contingency matrix. The practical studies contained in this book cover different fields of data mining, [detailed...]

ISBN: 354078487X
Book size: ; Page extent: 562.

 

PUT TO
THE BASKET
Margaret H. Dunham
Data Mining: Introductory and Advanced Topics

y.
Publisher:
Description: [detailed...]

ISBN: 0130888923
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Sushmita Mitra, Tinku Acharya
Data Mining: Multimedia, Soft Computing, and Bioinformatics

y.
Publisher:
Description: * First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches * Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining * Discusses principles and classical algorithms on string matching and their role in data mining [detailed...]

ISBN: 0471460540
Book size: ; Page extent: .

 

PUT TO
THE BASKET
John Wang
Data Mining: Opportunities and Challenges

y.
Publisher:
Description: Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts representing leading scientists and talented young scholars from seven differentcountries. [detailed...]

ISBN: 1591400511
Book size: ; Page extent: .

 

PUT TO
THE BASKET
John Wang
Data Mining: Opportunities and Challenges

y.
Publisher:
Description: [detailed...]

ISBN: 1931777837
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Ian H. Witten, Eibe Frank
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

2005 y.
Publisher:
Description: As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections, an enhanced Weka machine learning workbench, which now features an interactive interface, comprehensive information on neural networks, a new section on Bayesian networks, plus much more. * [detailed...]

ISBN: 0120884070
Book size: ; Page extent: 560.

 

PUT TO
THE BASKET
Bhavani Thuraisingham
Data Mining: Technologies, Techniques, Tools, and Trends

y.
Publisher:
Description: [detailed...]

ISBN: 0849318157
Book size: ; Page extent: .

 

PUT TO
THE BASKET
David C. Hay
Data Model Patterns: Conventions of Thought

y.
Publisher:
Description: [detailed...]

ISBN: 0932633293
Book size: ; Page extent: .

 

PUT TO
THE BASKET
Сайт создан в системе uCoz