Learn IT - Books tags mining

Microsoft Excel 2000 Functions in Practice (Que Quick Reference)

Que, 1999

The Microsoft Excel 2000 Functions in Practice provides in-depth information on the functions that will maximize your use of the analytical tools within Excel 2000. Packed with examples and detailed insight into both the functions and their uses, this reference includes more than just discussions of the functions—it offers practical,...

Link Mining: Models, Algorithms, and Applications

Springer, 2010

This book presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining. Link mining is an important field of data mining. Traditional data mining focuses on "flat" data in which each data object is represented as a fixed-length attribute vector. However, many real-world data sets are...

Pro Power BI Architecture: Sharing, Security, and Deployment Options for Microsoft Power BI Solutions

Apress, 2018

Architect and deploy a Power BI solution. This book will help you understand the many available options and choose the best combination for hosting, developing, sharing, and deploying a Power BI solution within your organization.

Pro Power BI Architecture provides detailed examples and explains...

Learn to Program with Minecraft: Transform Your World with the Power of Python

No Starch Press, 2015

You’ve bested creepers, traveled deep into caves, and maybe even gone to The End and back—but have you ever transformed a sword into a magic wand? Built a palace in the blink of an eye? Designed your own color-changing disco dance floor?

In Learn to Program with Minecraft®, you’ll do all this and...

Web Engineering: Principles and Techniques

Idea Group Publishing, 2005

Since the advent of the Web, every aspect of our lives and organizational activities has changed dramatically. Organizations’ expectations and dependencies on the use of Web technologies have increased rapidly over the years. Most organizations have conceived these Web technologies as a critical instrument for enhancing their performance;...

Data Mining Using SAS Enterprise Miner (Wiley Series in Computational Statistics)

John Wiley & Sons, 2007

Data Mining Using SAS Enterprise Miner introduces the readers to data mining using SAS Enterprise Miner v4. This book will reveal the power and ease of use of the powerful new module in SAS that will introduce the readers to the various configuration settings and subsequent results that are generated from the various nodes in Enterprise Miner that...

Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications

World Scientific Publishing, 2005

The book presents an interesting and pleasant introduction to the topic, which can guide the reader to the knowledge of the existing decomposition methods, and to the choice of those most promising for the problems he has to face. -- Zentralblatt MATH

Data Mining is the science and technology of exploring data in...

Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites

O'Reilly, 2011

Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to...

Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)

Springer, 2012

Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health...

Data Mining for Geoinformatics: Methods and Applications

Springer, 2013

The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of...

Data Mining for Social Robotics: Toward Autonomously Social Robots

Springer, 2016

This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by...

Database Management Systems

McGraw-Hill, 2000

DATABASE MANAGEMENT SYSTEMS is designed for use in a course in databases. This book is distinctive in its emphasis on the practical side of databases. This means that it has unique coverage of database design, uses SQL throughout the book to demonstrate different concepts, and has an emphasis on query evaluation and optimization. In this revision...

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