Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
by Ian H. Witten
from Morgan Kaufmann
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.
* Algorithmic methods at the heart of successful data miningincluding tried and true techniques as well as leading edge methods
* Performance improvement techniques that work by transforming the input or output
* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualizationin a new, interactive interface
Like the popular first edition, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining-including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource. Complementing the authors' instruction, including a fully-revised Chapter 8 and 30 new technique sections, is a fully functional platform-independent Java software s
Microsoft Access 2003 Forms, Reports, and Queries (Business Solutions)
by Paul McFedries
from Que
When it comes to job-productivity, we all want to be able to perform well, especially when it comes to challenging assignments. Anyone who works with Microsoft Access on a regular basis knows that this program can prove to be one of the most challenging. If you are looking for a way to get the most you can out of the primary Access tasks, Microsoft Access 2003 Forms, Reports and Queries is the learning tool that you need. Focusing only on the forms, reports and queries functions, this book provides you with practical know-how, real-world examples and techniques that you can put to use immediately. Learn to condense mountains of information into manageable molehills of useful knowledge, so that you can perform at your best!
Microsoft Access is a large, intimidating program. Unlike Word or Excel where users can perform basic tasks without much in the way of training, Access presents challenges from the outset. Most users never progress beyond creating simple tables and using Wizards to create basic forms and reports. At the same time, all users - from managers to researchers to administrative assistants - need to know that what they seek is embedded somewhere in their Access tables. Without a more sophisticated knowledge of how to extract and present that data, they are forced to rely on office gurus and overworked IT people to provide canned reports or one-size-fits-all solutions.This book changes all that by giving readers the skills required to etract the data they need (queries), build efficient front-ends for that data (forms), and publish the results in an attractive and easy-to-read format (reports). To that end, this book shuns the big Access picture and instead focuses intently on queries, forms, and reports. This in-depth approach will give the reader the skills and understanding he or she needs to get at the data and prove the old adage that knowledge is indeed power.
Information Systems Today: Managing in the Digital World (3rd Edition)
by Leonard Jessup
from Prentice Hall
Information Systems Today, 3e, speaks directly to WHY IS MATTERS today by focusing on what every business student needs to know about IS including its leading role in the globalization of business.
Take Back Your Life! Special Edition: Using Microsoft® Outlook® to Get Organized and Stay Organized (Bpg-Other)
by Sally McGhee
from Microsoft Press
Unrelenting e-mail. Conflicting commitments. Endless interruptions. In Take Back Your Life! Special Edition, productivity expert Sally McGhee shows you how to take control and reclaim something that you thought you'd lost forever--your work-life balance. Now you can benefit from Sally's popular and highly-regarded corporate education programs, learning simple but powerful techniques for rebalancing your personal and professional commitments using the productivity features in Outlook. Learn the proven methods that will empower you to: *Clear away distractions and loose ends and focus on what's really important to you and your business.*Take charge of your productivity using techniques and processes designed by McGhee Productivity Solutions and implemented in numerous Fortune 500 companies.*Customize and exploit the productivity features iOutlook to help you create balance at home and on the job.*Special Edition features: Get even more on-the-job resources with an easy tear-out card of Sally's workflow diagram, a quick guide to key Outlook tasks, and great articles on the CD to help you save even more time.When you change your approach, you can change your results. So learn what thousands of Sally's clients worldwide have discovered about taking control of their everyday productivity--and start transforming your own life today!
Oracle Automatic Storage Management: Under-the-Hood & Practical Deployment Guide (Oracle)
by Nitin Vengurlekar
from McGraw-Hill Osborne Media
Build and manage a scalable storage infrastructure with Oracle Automatic Storage Management
Streamline data management and provisioning using Oracle Automatic Storage Management (Oracle ASM) and the detailed information contained in this exclusive Oracle Press resource. Written by a team of database experts, Oracle Automatic Storage Management: Under-the-Hood & Practical Deployment Guide explains how to build and maintain a dynamic, highly available Oracle database storage environment. Inside, you'll learn how to configure storage for Oracle ASM, build disk groups, use data striping and mirroring, and optimize performance. You'll also learn how to ensure consistency across server and storage platforms, maximize data redundancy, and administer Oracle ASM from the command line.- Manage Oracle ASM Instances and configure Oracle RDBMS instances to leverage Oracle ASM
- Define, discover, and manage disk storage under Oracle ASM
- Create external, normal-redundancy, and high-redundancy disk groups
- Add and remove Oracle ASM storage without affecting RDMS instance availability
- Learn how Oracle ASM provides even I/O distribution
- Work with Oracle ASM directories, files, templates, and aliases
- Improve storage performance and integrity using the ASMLIB API
- Simplify system administration with the Oracle ASM command line interface
- Understand key internal Oracle ASM structures and algorithms
Inside Microsoft SQL Server(TM) 2005: The Storage Engine (Solid Quality Learning)
by Kalen Delaney
from Microsoft Press
This practical, hands-on book offers deep, thorough coverage of the internals of architecture and resource management in SQL Server 2005, focusing on the Storage Engine. The book features extensive code samples and table examples.
Backup & Recovery
by W. Curtis Preston
from O'Reilly Media, Inc.
Packed with practical, freely available backup and recovery solutions for Unix, Linux, Windows, and Mac OS X systems -- as well as various databases -- this new guide is a complete overhaul of Unix Backup & Recovery by the same author, now revised and expanded with over 75% new material.
Backup & Recovery starts with a complete overview of backup philosophy and design, including the basic backup utilities of tar, dump, cpio, ntbackup, ditto, and rsync. It then explains several open source backup products that automate backups using those utilities, including AMANDA, Bacula, BackupPC, rdiff-backup, and rsnapshot. Backup & Recovery then explains how to perform bare metal recovery of AIX, HP-UX, Linux, Mac OS, Solaris, VMWare, & Windows systems using freely-available utilities. The book also provides overviews of the current state of the commercial backup software and hardware market, including overviews of CDP, Data De-duplication, D2D2T, and VTL technology. Finally, it covers how to automate the backups of DB2, Exchange, MySQL, Oracle, PostgreSQL, SQL-Server, and Sybase databases - without purchasing a commercial backup product to do so.
For environments of all sizes and budgets, this unique book shows you how to ensure data protection without resorting to expensive commercial solutions. You will soon learn to:
- Automate the backup of popular databases without a commercial utility
- Perform bare metal recovery of any popular open systems platform, including your PC or laptop
- Utilize valuable but often unknown open source backup products
- Understand the state of commercial backup software, including explanations of CDP and data de-duplication software
- Access the current state of backup hardware, including Virtual Tape Libraries (VTLs)
Enterprise Master Data Management: An SOA Approach to Managing Core Information
by Allen Dreibelbis
from IBM Press
The Only Complete Technical Primer for MDM Planners, Architects, and Implementers
Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments.
Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA.
Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage.
Coverage includes
- How MDM and SOA complement each other
- Using the MDM Reference Architecture to position and design MDM solutions within an enterprise
- Assessing the value and risks to master data and applying the right security controls
- Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges
- Explaining MDM patterns as enablers to accelerate consistent MDM deployments
- Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints
- Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance
- Best practices in MDM deployment, including data warehouse and SAP integration
Introduction to Data Mining
by Pang-Ning Tan
from Addison Wesley
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
Database Modeling and Design: Logical Design, 4th Edition (The Morgan Kaufmann Series in Data Management Systems)
by Toby J. Teorey
from Morgan Kaufmann
Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in consideration of new technology or new business needs?
In the extensively revised fourth edition, youll get clear explanations, lots of terrific examples and an illustrative case, and the really practical advice you have come to count on--with design rules that are applicable to any SQL-based system. But youll also get plenty to help you grow from a new database designer to an experienced designer developing industrial-sized systems.
+ a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification and conceptual modeling--with examples throughout the book in both approaches!
+ the details and examples of how to use data modeling concepts in logical database design, and the transformation of the conceptual model to the relational model and to SQL syntax;
+ the fundamentals of database normalization through the fifth normal form;
+ practical coverage of the major issues in business intelligence--data warehousing, OLAP for decision support systems, and data mining;
+ examples for how to use the most popular CASE tools to handle complex data modeling problems.
+ Exercises that test understanding of all material, plus solutions for many exercises.
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