Automatic text processing
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Foundations of statistical natural language processing
Foundations of statistical natural language processing
New Directions in Question Answering
New Directions in Question Answering
IEEE Transactions on Knowledge and Data Engineering
Intelligence and Security Informatics for International Security: Information Sharing and Data Mining (Integrated Series in Information Systems)
Linked: How Everything Is Connected to Everything Else and What It Means
Linked: How Everything Is Connected to Everything Else and What It Means
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Top 10 algorithms in data mining
Knowledge and Information Systems
Technical perspective: the data center is the computer
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security
Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security
MapReduce and parallel DBMSs: friends or foes?
Communications of the ACM - Amir Pnueli: Ahead of His Time
AI, E-government, and Politics 2.0
IEEE Intelligent Systems
Crowdsourcing systems on the World-Wide Web
Communications of the ACM
Editorial: Design science, grand challenges, and societal impacts
ACM Transactions on Management Information Systems (TMIS)
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
An overview of business intelligence technology
Communications of the ACM
Design science in information systems research
MIS Quarterly
EISIC '11 Proceedings of the 2011 European Intelligence and Security Informatics Conference
Dark Web: Exploring and Data Mining the Dark Side of the Web
Dark Web: Exploring and Data Mining the Dark Side of the Web
Communications of the ACM
Process Mining: Overview and Opportunities
ACM Transactions on Management Information Systems (TMIS)
ACM Transactions on Management Information Systems (TMIS)
Predicting non-traditional student learning outcomes using data analytics - a pilot research study
Journal of Computing Sciences in Colleges
Social commerce research: An integrated view
Electronic Commerce Research and Applications
Big-data applications in the government sector
Communications of the ACM
Usability evaluation guidelines for business intelligence applications
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
Editorial: data mining in electronic commerce - support vs. confidence
Journal of Theoretical and Applied Electronic Commerce Research
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Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework.