State-Of-The-Art Web Data Extraction Systems for Online Business Intelligence

Informacijos Mokslai - Lithuania
doi 10.15388/im.2013.0.1595
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Vilnius University Press

Related search

Sales Based Data Extraction for Business Intelligence

2013English

Proximal Business Intelligence on the Semantic Web

Lecture Notes in Business Information Processing
ControlSystems EngineeringInformation SystemsBusinessInternational ManagementSimulationManagementManagement Information SystemsModeling
2010English

Keyword Enhanced Web Structure Mining for Business Intelligence

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Tailorable Technologies for Improving Business Intelligence Systems

Applying Business Intelligence Initiatives in Healthcare and Organizational Settings
2019English

The Current State of Business Intelligence in Academia

Communications of the Association for Information Systems
Information Systems
2011English

Critical Success Factors for the Implementation of Business Intelligence Systems

International Journal of Business Intelligence Research
StatisticsProbabilityUncertaintyInformation SystemsManagementManagement Information Systems
2018English

Big Data and Web Intelligence

2016English

Trend of Supervised Web Data Extraction

International Journal of Computer Applications
2018English

The Role of Data Mining for Business Intelligence in Knowledge Management

Integration of Data Mining in Business Intelligence Systems
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy