Business Intelligence and Analytics
ACM Transactions on Management Information SystemsPublished 1 January 2013Open access
Ee‐Peng Lim, Hsinchun Chen, Guoqing Chen
Citations209
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications to categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics.
Abstract
Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and markets. The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships. In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics. The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications. For each research direction, we will also determine a few important questions to be addressed in future research.
Keywords
Computer ScienceBusiness, Management and AccountingPhysics and Astronomy
The PageRank Citation Ranking : Bringing Order to the Web
12,645 Citations1999Lawrence M. Page, Sergey Brin +2 more
This paper describes PageRank, a mathod for rating Web pages objectively and mechanically, effectively measuring the human interest and attention devoted to them, and shows how to efficiently compute PageRank for large numbers of pages.
Physics ReportsCommunity detection in graphs
11,324 Citations2009Santo Fortunato
A thorough exposition of community structure, or clustering, is attempted, from the definition of the main elements of the problem, to the presentation of most methods developed, with a special focus on techniques designed by statistical physicists.
Big data: The next frontier for innovation, competition, and productivity
5,228 Citations2011James Manyika
The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
ACM SIGIR ForumAn Algorithmic Framework for Performing Collaborative Filtering
2,552 Citations2017Jonathan L. Herlocker, Joseph A. Konstan +2 more
An algorithmic framework for performing collaborative filtering
1,973 Citations1999Jonathan L. Herlocker, Joseph A. Konstan +2 more
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage.
SoRec
1,427 Citations2008Hao Ma, Haixuan Yang +2 more
A factor analysis approach based on probabilistic matrix factorization to solve the data sparsity and poor prediction accuracy problems by employing both users' social network information and rating records is proposed.
Communications of the ACMMapReduce
1,182 Citations2009Jay B. Dean, Sanjay Ghemawat
MapReduce advantages over parallel databases include storage-system independence and fine-grain fault tolerance for large jobs.
Sociological Methods & ResearchHomophily and Contagion Are Generically Confounded in Observational Social Network Studies
1,026 Citations2011Cosma Rohilla Shalizi, Andrew C. Thomas
The authors demonstrate, with simple examples, that asymmetries in regression coefficients cannot identify causal effects and that very simple models of imitation can produce substantial correlations between an individual’s enduring traits and his or her choices, even when there is no intrinsic affinity between them.
ACM SIGKDD Explorations NewsletterLink mining
977 Citations2005Lise Getoor, Christopher Diehl
While network analysis has been studied in depth in particular areas such as social network analysis, hypertext mining, and web analysis, only recently has there been a cross-fertilization of ideas among these different communities.
ACM SIGMOD RecordMining data streams
887 Citations2005Mohamed Medhat Gaber, Arkady Zaslavsky +1 more
This review paper presents the state-of-the-art in data stream mining, concerned with extracting knowledge structures represented in models and patterns in non stopping streams of information.
Semantic search
753 Citations2003R. Guha, Rob McCool +1 more
An application called 'Semantic Search' is presented which is built on these supporting technologies and is designed to improve traditional web searching and an overview of TAP, the application framework upon which the Semantic Search is built is provided.
ComputerThe Current State of Business Intelligence
622 Citations2007Hugh J. Watson, Barbara H. Wixom
Business intelligence (BI) has become a strategic initiative and is now recognized by CIOs and business leaders as instrumental in driving business effectiveness and innovation.
Synthesis lectures on data mining and knowledge discoveryMining Heterogeneous Information Networks: Principles and Methodologies
491 Citations2012Yizhou Sun, Jiawei Han
This semi-structured heterogeneous network modeling leads to a series of new principles and powerful methodologies for mining interconnected data, including: (1) rank-based clustering and classification; (2) meta-path-based similarity search and mining; (3) relation strength-aware mining, and many other potential developments.
Journal of Management Information SystemsA Visual Framework for Knowledge Discovery on the Web: An Empirical Study of Business Intelligence Exploration
232 Citations2005Wingyan Chung, Hsinchun Chen +1 more
Results show that knowledge map outperformed Kartoo, a commercial search engine with graphical display, in terms of effectiveness and efficiency, and Web community was found to be more effective, efficient, and usable than result list.
MIS QuarterlyCyberGate: A Design Framework and System for Text Analysis of Computer-Mediated Communication1
198 Citations2008Ahmed Abbasi, Hsinchun Chen
The results revealed that the CyberGate system and its underlying design framework can dramatically improve CMC text analysis capabilities over those provided by existing systems.
IEEE Intelligent SystemsAI and Opinion Mining
189 Citations2010Hsinchun Chen, David Zimbra
Opinion mining, a subdiscipline within data mining and computational linguistics, refers to the computational techniques for extracting, classifying, understanding, and assessing the opinions expressed in various online news sources, social media comments, and other user-generated content.
Synthesis lectures on data mining and knowledge discoveryMining Heterogeneous Information Networks
144 Citations2012Yizhou Sun, Jiawei Han
ACM Transactions on Knowledge Discovery from DataHADI
132 Citations2011U Kang, Charalampos E. Tsourakakis +3 more
HADI (HAdoop DIameter and radii estimator) is proposed, a carefully designed and fine-tuned algorithm to compute the radii and the diameter of massive graphs, that runs on the top of the Hadoop/MapReduce system with excellent scale-up on the number of available machines.
AIS Electronic Library (AISeL) (Association for Information Systems)Continental Airlines Flies High with Real-Time Business Intelligence
112 Citations2004Ron Anderson-Lehman, Hugh J. Watson +2 more
Smoothing techniques for adaptive online language models
111 Citations2011Jimmy Lin, Rion Snow +1 more
Experiments show that unigram language models smoothed using a normalized extension of stupid backoff and a simple queue for history retention performs well on the task of tracking broad topics in continuous streams of short texts from the microblogging service Twitter.
Learning to rank networked entities
103 Citations2006Alekh Agarwal, Soumen Chakrabarti +1 more
A framework for ranking networked entities based on Markov walks with parameterized conductance values associated with the network edges and a constrained maximum entropy network flow formulation whose dual can be solved efficiently using a cutting-plane approach and a quasi-Newton optimizer.
Communications of the ACMGaining wisdom from crowds
92 Citations2012Neil Savage
Online games are harnessing humans' skills to solve scientific problems that are currently beyond the ability of computers.
Journal of the American Society for Information Science and TechnologyEBizPort: Collecting and analyzing business intelligence information
59 Citations2004Byron Marshall, Daniel McDonald +2 more
Results from the evaluation study suggest that the visualization function added value to the search and analysis process, that the generalizable collection-building technique can be useful for domain-specific information searching on the Web, and that the search interface was important for Web search and browse support.
AIS Electronic Library (AISeL) (Association for Information Systems)Developing an Enterprise Business Intelligence Capability: The Norfolk Southern Journey
49 Citations2011Barbara H. Wixom, Hugh J. Watson +1 more
Norfolk Southern Railway’s BI journey, which began in the early 1990s with departmental reporting, evolved into data warehousing and analytic applications, and has resulted in a company that today uses BI to support corporate strategy is described.
AIS Electronic Library (AISeL) (Association for Information Systems)Advanced Business Intelligence at Cardinal Health
46 Citations2005Traci Carte, Albert B. Schwarzkopf +2 more
Predicting Item Adoption Using Social Correlation
24 Citations2011Freddy Chong Tat Chua, Hady W. Lauw +1 more
The Social Correlation model based on Latent Dirichlet Allocation (LDA) that decomposes the adoption graph into a set of latent factors reflecting user preferences, and a social correlation matrix reflecting the degree of correlation from one user to another is proposed.