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Database Miscellaneous

Effective Databases For Text And Document Management

The focus of this book is effective databases
for text and document management inclusive of new and enhanced
techniques, methods, theories and practices. The research contained in
these chapters is of particular significance to researchers and
practitioners alike because of the rapid pace at which the Internet and
related technologies are changing our world. Already there is a vast
amount of data stored in local databases and Web pages (HTML, DHTML,
XML and other markup language documents). In order to take advantage of

Data Mining with SQL Server 2005 by Zhaohui tang & Jamie MacLennan

Your in-depth guide to using the new Microsoft data mining standard to solve today's business problems

Distributed Data Warehousing Using Web Technology

How to transform raw data into knowledge–and empower businesses with a significant competitive edge!

What is a "data warehouse?" It's a database that's structured to support business decision making. A data warehouse organizes, analyzes, and synthesizes huge amounts of raw data–so that it's intelligible and useful to employees. Until recently, all that data would be stored in centralized, monolithic storage media. It was cumbersome to manage, slow to operate, and expensive to maintain.

Database Developer's Guide with Visual C++ 4, Second Edition

Table of Contents:

- I -Visual C++ Data Access

- 1 -Positioning Visual C++ in the Desktop Database Market

- 2 -Understanding MFC's Data Access Classes

- 3 -Using Visual C++ Data Access Functions

- II -Database and Query Design Concepts

- 4 -Optimizing the Design of Relational Databases

- 5 -Learning Structured Query Language

- 6 -The Microsoft Jet Database Engine

- 7 -Using the Open Database Connectivity API

- 8 -Running Crosstab and Action Queries

Data Mining Desktop Survival Guide (Graham Williams)

# Data Mining

* Data Mining

# Data Mining with Rattle

* Introduction
* Data
* Select Data
* Explore
* Transform
* Classify
* Unsupervised
* Text Mining
* Evaluation and Deployment
* Issues
* Moving into R
* Troubleshooting

# R for the Data Miner

* R: The Language
* Data
* Graphics in R
* Understanding Data
* Preparing Data
* Descriptive and Predictive Analytics
* Cluster Analysis: K-Means

Cold Fusion Web Database Construction Kit

Table of Contents:

* Introduction

* Chapter 1- Why Cold Fusion?
* Chapter 2 - Introduction to Cold Fusion
* Chapter 3 - Prerequisites
* Chapter 4 - Installing and Administering Cold Fusion
* Chapter 5 - Designing an Application
* Chapter 6 - Database Fundamentals
* Chapter 7- Creating Databases and Tables
* Chapter 8- Introduction to SQL
* Chapter 9 - SQL Data Manipulation
* Chapter 10 - Cold Fusion Basics
* Chapter 11 - Cold Fusion Forms
* Chapter 12 - Using Forms to Add or Change Data

Build your own Database Driven Website using PHP & MySQL

DB2 Application Development Concepts

# Getting Started with DB2 Application Development
# Coding a DB2 Application

Embedding SQL in Applications

# Embedded SQL Overview
# Writing Static SQL Programs
# Writing Dynamic SQL Programs

Stored Procedures

# Stored Procedures

Object-Relational Programming

# Using the Object-Relational Capabilities
# Using Large Objects (LOBs)
# User-Defined Functions (UDFs)
# User-defined Distinct Types (UDTs)
# Writing User-Defined Functions (UDFs)

Access 97 Expert Solutions

*  Introduction

Part I: The Leszynski Development Framework

* Chapter 1 - Access as a Development Tool
* Chapter 2 - Introducing the Leszynski Development Framework
* Chapter 3 - Preparing for Development
* Chapter 4 - Creating Design Specifications
* Chapter 5 - Creating Naming Conventions
* Chapter 6 - Leszynski Naming Conventions for Access
* Chapter 7 - Understanding Application Architecture
* Chapter 8 - Designing Effective Interfaces
* Chapter 9 - Completing and Deploying a Solution

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