Learn IT - Books tags mining

Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)

Springer, 2008

Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes.

Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the...

Intelligent Tutoring Systems: 10th International Conference, ITS 2010, Pittsburgh, PA

Springer, 2010

The 10th International Conference on Intelligent Tutoring Systems, ITS 2010, continued the bi-annual series of top-flight international conferences on the use of advanced educational technologies that are adaptive to users or groups of users. These highly interdisciplinary conferences bring together researchers in the learning sciences,...

Data Warehousing OLAP and Data Mining

New Age Publications, 2008

This book is intended for Information Technology (IT) professionals who have been hearing about or have been tasked to evaluate, learn or implement data warehousing technologies. This book also aims at providing fundamental techniques of KDD and Data Mining as well as issues in practical use of Mining tools.

Far...

Excel 2003 Power Programming with VBA

For Dummies, 2004

"Today, no accomplished Excel programmer can afford to be without John’s book. The value of Excel 2003 Power Programming with VBA is double most other books--simultaneously the premier reference and best learning tool for Excel VBA."
—Loren Abdulezer, Author of Excel Best Practices for Business

Everything...

Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R

Apress, 2018

Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...

Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)

Morgan Kaufmann, 2005

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...

Information Retrieval and Mining in Distributed Environments (Studies in Computational Intelligence)

Springer, 2010

At DART'09, held in conjunction with the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009) and Intelligent Agent Technology (IAT 2009) in Milan (Italy), practitioners and researchers working on pervasive and intelligent access to web services and distributed information retrieval met to compare their work ad...

Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach (Natural Computing Series)

Springer, 2009

Traditionally, evolutionary computing techniques have been applied in the area of data mining either to optimize the parameters of data mining algorithms or to discover knowledge or patterns in the data, i.e., to directly solve the target data mining problem. This book proposes a different goal for evolutionary algorithms in data mining: to...

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Cambridge University Press, 2000

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences...

Machine Learning Approaches to Bioinformatics (Science, Engineering, and Biology Informatics)

World Scientific Publishing, 2010

This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual...

A Programmer's Introduction to PHP 4.0

Apress, 2000

No matter what language you are familiar with, this book will benefit you. Beginning with a rapid introduction to PHP's syntax and basic functionality, you will swiftly understand PHP. The book then steers you toward advanced issues, like PHP's role in database manipulation, sessions, and user interactivity.

Author W.J. Gilmore also...

Natural Language Processing and Text Mining

Springer, 2006

From the reviews:

"The papers in this book describe a range of natural language processing (NLP) techniques and applications, all originating from an ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) panel discussion. … Overall, the contributions are well balanced with respect to the different approaches...

Result Page: 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28