Paper Info
Title
Challenging research issues in data mining, databases and information retrieval
Abstract
Data mining research along with related fields such as databases and information retrieval poses challenging problems, especially for doctoral students. The research spreads over a variety of topics such as text mining, semantic web, multilingual information analysis, heterogeneous data management, database learning, digital libraries and more. Much of this research cuts across multiple fields and presents interesting issues for discussion at conferences with a confluence of several tracks. The ACM Conference on Information and Knowledge Management provides an excellent environment for presenting such research problems spanning the three tracks of database systems, information retrieval and knowledge management. This article provides an overview of the dissertation problems presented at a Ph.D. workshop in the ACM Conference on Information and Knowledge Management. The goal of such workshops is to allow students to showcase their creative ideas at an early stage. This enables experts to critique their work and also gives the students an opportunity to exchange their thoughts with each other, besides providing excellent networking opportunities with industry and academia. This article provides an overview of the papers presented at the Ph.D workshop. It serves as a motivation for researchers to delve deeper into the innovative dissertation problems summarized here and the related work in these areas.
Year
DOI
Venue
2009
10.1145/1656274.1656284
SIGKDD Explorations
Keywords
Field
DocType
ph.d. forum,acm conference,interdisciplinary work,knowledge discovery,research cut,ph.d workshop,database management,ph.d. workshop,research spread,data mining research,information retrieval,multilingual information analysis,research problem,knowledge management,dissertation problems,web technology,challenging research issue,semantic web,data mining,digital library,text mining,database system,information analysis
Data science,Data mining,Cognitive models of information retrieval,Information retrieval,Personal information management,Computer science,Semantic Web,Knowledge extraction,Digital library,Data management,Database
Journal
Volume
Issue
Citations 
11
1
9
PageRank 
References 
Authors
0.59
18
1
Name
Order
Citations
PageRank
Aparna S. Varde118828.71