Web Usage Mining Techniques and Applications Across Industries (Advances in Data Mining and Database Management) - Image 1

Price loading...

Information Science Reference Web Usage Mining Techniques and Applications Across Industries (Advances in Data Mining and Database Management)

Name: Web Usage Mining Techniques and Applications Across Industries (Advances in Data Mining and Database Management)
Brand: Information Science Reference

E-business

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.

Product Specifications

Brand: Information Science Reference
Format: hardcover
ASIN: 1522506136
Category: Books > Subjects > Business, Finance & Law > E-Commerce > E-business
Domain: Amazon UK
Release Date: 12 August 2016
Listed Since: 05 May 2016

Barcode

No barcode data available

Information Science Reference Web Usage Mining Techniques and Applications Across Industries (Advances in Data Mining and Database Management)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Advanced Practical Approaches to Web Mining Techniques and Application

Advanced Practical Approaches to Web Mining Techniques and Application (Advances in Web Technologies and Engineering)

Web Data Mining and the Development of Knowledge-Based Decision Support Systems (Advances in Data Mining and Database Management)

Web Mining: Applications and Techniques

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)

Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends

Collaborative Filtering Using Data Mining and Analysis (Advances in Data Mining and Database Management)

Handbook of Research on Text and Web Mining Technologies

Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions

Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage

Springer - Mining the World Wide Web: An Information Search Approach

Mining the World Wide Web: An Information Search Approach: 10 (The Information Retrieval Series, 10)

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications (Premier Reference Source)

Mining Text Data

XML Data Mining: Models, Methods, and Applications (Advances in Data Mining and Database Management)

CRC Press Data Mining: Technologies, Techniques, and Tools

Data Mining: Technologies, Techniques, Tools, and Trends

Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches (Premier Reference Source)

Data Mining Trends and Applications in Criminal Science and Investigations (Advances in Data Mining and Database Management)

Design and Implementation of Data Mining Tools

Applications and Developments in Semantic Process Mining

Mining the Web: Discovering Knowledge from Hypertext Data (The Morgan Kaufmann Series in Data Management Systems)

Text Mining: Applications and Theory