Books about Unstructured from Amazon.com



The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities..
Price: $49.07 [Notify me when price goes down.]


Text Mining Application Programming (Programming Series)
Text Mining Application Programming teaches software developers how to mine the vast amounts of information available on the Web, internal networks, and desktop files and turn it into usable data. The book helps developers understand the problems associated with managing unstructured text, and explains how to build your own mining tools using standard statistical methods from information theory, artificial intelligence, and operations research. Each of the topics covered are thoroughly explained and then a practical implementation is provided. The book begins with a brief overview of text data, where it can be found, and the typical search engines and tools used to search and gather this text. It details how to build tools for extracting and using the text, and covers the mathematics behind many of the algorithms used in building these tools. From there you'll learn how to build tokens from text, construct indexes, and detect patterns in text. You'll also find methods to extract the names of people, places, and organizations from an email, a news article, or a Web page. The next portion of the book teaches you how to find information on the Web, the structure of the Web, and how to build spiders to crawl the Web. Text categorization is also described in the context of managing email. The final part of the book covers information monitoring, summarization, and a simple Question & Answer (Q&A) system. The code used in the book is written in Perl, but knowledge of Perl is not necessary to run the software. Developers with an intermediate level of experience with Perl can customize the software. Although the book is about programming, methods are explained with English-like pseudocode and the source code is provided on the CD-ROM. After reading this book, you'll be ready to tap into the bevy of information available online in ways you never thought possible..
Price: $37.77 [Notify me when price goes down.]


Text Mining: Predictive Methods for Analyzing Unstructured Information
The growth of the web can be seen as an expanding public digital library collection Online digital information extends far beyond the web and its publicly available information. Huge amounts of information are private and are of interest to local communities, such as the records of customers of a business. This information is overwhelmingly text and has its record-keeping purpose, but an automated analysis might be desirable to find patterns in the stored records. Analogous to this data mining is text mining, which also finds patterns and trends in information samples but which does so with far less structured--though with greater immediate utility for users--ingredients. This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. It introduces the new world of text mining and examines proven methods for various critical text-mining tasks, such as automated document indexing and information retrieval and search. New research areas are explored, such as information extraction and document summarization, that rely on evolving text-mining techniques..
Price: $44.50 [Notify me when price goes down.]


Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence

“The authors, the best minds on the topic, are breaking new ground. They show how every organization can realize the benefits of a system that can search and present complex ideas or data from what has been a mostly untapped source of raw data.”

--Randy Chalfant, CTO, Sun Microsystems

 

The Definitive Guide to Unstructured Data Management and Analysis--From the World’s Leading Information Management Expert

A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it. This is changing rapidly: new approaches finally make it possible to glean useful knowledge from virtually any collection of unstructured data.

 

William H. Inmon--the father of data warehousing--and Anthony Nesavich introduce the next data revolution: unstructured data management. Inmon and Nesavich cover all you need to know to make unstructured data work for your organization. You’ll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Inmon and Nesavich introduce breakthrough techniques covered in no other book--including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analyzing text. They also present five chapter-length, real-world case studies--demonstrating unstructured data at work in medical research, insurance, chemical manufacturing, contracting, and beyond.

 

This book will be indispensable to every business and technical professional trying to make sense of a large body of unstructured text: managers, database designers, data modelers, DBAs, researchers, and end users alike.

 

Coverage includes

  • What unstructured data is, and how it differs from structured data
  • First generation technology for handling unstructured data, from search engines to ECM--and its limitations
  • Integrating text so it can be analyzed with a common, colloquial vocabulary: integration engines, ontologies, glossaries, and taxonomies
  • Processing semistructured data: uncovering patterns, words, identifiers, and conflicts
  • Novel processing opportunities that arise when text is freed from context
  • Architecture and unstructured data: Data Warehousing 2.0
  • Building unstructured relational databases and linking them to structured data
  • Visualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutions
  • Capturing knowledge from spreadsheet data and email
  • Implementing and managing metadata: data models, data quality, and more

William H. Inmon is founder, president, and CTO of Inmon Data Systems. He is the father of the data warehouse concept, the corporate information factory, and the government information factory. Inmon has written 47 books on data warehouse, database, and information technology management; as well as more than 750 articles for trade journals such as Data Management Review, Byte, Datamation, and ComputerWorld. His b-eye-network.com newsletter currently reaches 55,000 people.

Anthony Nesavich worked at Inmon Data Systems, where he developed multiple reports that successfully query unstructured data.

 

Preface xvii

1          Unstructured Textual Data in the Organization 1

2          The Environments of Structured Data and Unstructured Data 15

3          First Generation Textual Analytics 33

4          Integrating Unstructured Text into the Structured Environment 47

5          Semistructured Data 73

6          Architecture and Textual Analytics 83

7          The Unstructured Database 95

8          Analyzing a Combination of Unstructured Data and Structured Data 113

9          Analyzing Text Through Visualization 127

10        Spreadsheets and Email 135

11        Metadata in Unstructured Data 147

12        A Methodology for Textual Analytics 163

13        Merging Unstructured Databases into the Data Warehouse 175

14        Using SQL to Analyze Text 185

15        Case Study--Textual Analytics in Medical Research 195

16        Case Study--A Database for Harmful Chemicals 203

17        Case Study--Managing Contracts Through an Unstructured Database 209

18        Case Study--Creating a Corporate Taxonomy (Glossary) 215

19        Case Study--Insurance Claims 219

Glossary 227

Index 233

 

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Price: $23.92 [Notify me when price goes down.]


Semantic Web For Dummies (For Dummies (Computer/Tech))
  • Describes exactly what the Semantic Web is and why it is considered by some to be one of the greatest computer innovations in history
  • Offering a better understanding of how Semantic Web technology adds support for unstructured data, this fun and friendly guide explains how the Semantic Web connects information in ways that let users discover innovative associations among unrelated data
  • Detailed descriptions of Semantic Web implementations and practical, hands-on guidance provide readers with necessary insight so that they can make good decisions when it comes to leveraging the technology in their workplace, personal life, or anywhere else
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Price: $19.79 [Notify me when price goes down.]


Basic Structured Grid Generation: With an introduction to unstructured grid generation
Finite element, finite volume and finite difference methods use grids to solve the numerous differential equations that arise in the modelling of physical systems in engineering Structured grid generation forms an integral part of the solution of these procedures. Basic Structured Grid Generation provides the necessary mathematical foundation required for the successful generation of boundary-conforming grids and will be an important resource for postgraduate and practising engineers.

The treatment of structured grid generation starts with basic geometry and tensor analysis before moving on to identify the variety of approaches that can be employed in the generation of structured grids. The book then introduces unstructured grid generation by explaining the basics of Delaunay triangulation and advancing front techniques. A companion website fully supports this book by providing numerical codes in FORTRAN 77/90 for both structured and unstructured grid generation which will help the reader to develop their understanding and make progress in grid generation.

* A practical, straightforward approach to this complex subject for engineers and students.
* A key technique for modelling physical systems.
* Companion website provides free access to grid generation codes..
Price: $66.16 [Notify me when price goes down.]


Observation Techniques: Structured To Unstructured (Real World Research)
Observation is arguably the most direct and valid method of research because the resulting data is derived from what people actually do rather than what they say they do.

This practical and introductory guide covers:

- understanding the value of observation
- setting up the observation
- developing structured or unstructured techniques..
Price: $16.09 [Notify me when price goes down.]



Creating Contact, Choosing Relationship: The Dynamics of Unstructured Group Therapy (Jossey Bass Social and Behavioral Science Series)
University of Georgia, Athens. Text for practicing psychologists or students wanting to organize or conduct unstructured therapy groups. .
Price: $35.00 [Notify me when price goes down.]


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