Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Journal of the American Society for Information Science
Data mining and knowledge discovery in databases
Communications of the ACM
An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
Exploiting Background Information in Knowledge Discovery from Text
Journal of Intelligent Information Systems
Literature-based discovery by lexical statistics
Journal of the American Society for Information Science
Journal of the American Society for Information Science and Technology
Information discovery from complementary literatures: categorizing viruses as potential weapons
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Better Rules, Few Features: A Semantic Approach to Selecting Features from Text
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Literature Based Method for Identifying Gene-Disease Connections
CSB '02 Proceedings of the IEEE Computer Society Conference on Bioinformatics
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Interaction design for literature-based discovery
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Mining Text for Expert Witnesses
IEEE Software
Mining generalized association rules on biomedical literature
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Knowledge discovery based on an implicit and explicit conceptual network
Journal of the American Society for Information Science and Technology
Using statistical and knowledge-based approaches for literature-based discovery
Journal of Biomedical Informatics
Mining scientific literature to predict new relationships
Intelligent Data Analysis
Answering relationship queries on the web
Proceedings of the 16th international conference on World Wide Web
Graph-based text representation and knowledge discovery
Proceedings of the 2007 ACM symposium on Applied computing
Use of ranked cross document evidence trails for hypothesis generation
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Web and Grid Services
Mining disease-specific molecular association profiles from biomedical literature: a case study
Proceedings of the 2008 ACM symposium on Applied computing
Generating hypotheses from the web
Proceedings of the 17th international conference on World Wide Web
Research topic recommendation service: an approach based on semantic relation in context
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Computer Methods and Programs in Biomedicine
Improved biomedical document retrieval system with PubMed term statistics and expansions
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
Discovering implicit associations among critical biological entities
International Journal of Data Mining and Bioinformatics
A new evaluation methodology for literature-based discovery systems
Journal of Biomedical Informatics
RaJoLink: A Method for Finding Seeds of Future Discoveries in Nowadays Literature
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Proceedings of the third international workshop on Data and text mining in bioinformatics
Discovering genes-diseases associations from specialized literature using the grid
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Journal of Biomedical Informatics
Mining concept associations for knowledge discovery through concept chain queries
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Hypothesis generation and ranking based on event similarities
Proceedings of the 2010 ACM Symposium on Applied Computing
Literature-based discovery by an enhanced information retrieval model
DS'07 Proceedings of the 10th international conference on Discovery science
Discovering breast cancer drug candidates from biomedical literature
International Journal of Data Mining and Bioinformatics
A text-mining technique for extracting gene-disease associations from the biomedical literature
International Journal of Bioinformatics Research and Applications
Passage retrieval based hidden knowledge discovery from biomedical literature
Expert Systems with Applications: An International Journal
Inferring hidden relationships from biological literature with multi-level context terms
Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics
Mining medline for new possible relations of concepts
CIS'04 Proceedings of the First international conference on Computational and Information Science
The arrowsmith project: 2005 status report
DS'05 Proceedings of the 8th international conference on Discovery Science
DS'05 Proceedings of the 8th international conference on Discovery Science
Expert Systems with Applications: An International Journal
Exploring the power of outliers for cross-domain literature mining
Bisociative Knowledge Discovery
Improving cross-document knowledge discovery using explicit semantic analysis
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
Journal of Information Science
A graph-based recovery and decomposition of Swanson's hypothesis using semantic predications
Journal of Biomedical Informatics
Results on mining NHANES data: A case study in evidence-based medicine
Computers in Biology and Medicine
Mining semantic relationships between concepts across documents incorporating wikipedia knowledge
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
Supervised hypothesis discovery using syllogistic patterns in the biomedical literature
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Hi-index | 0.00 |
Hypothesis generation, a crucial initial step for making scientific discoveries, relies on prior knowledge, experience, and intuition. Chance connections made between seemingly distinct subareas sometimes turn out to be fruitful. The goal in text mining is to assist in this process by automatically discovering a small set of interesting hypotheses from a suitable text collection. In this report, we present open and closed text mining algorithms that are built within the discovery framework established by Swanson and Smalheiser. Our algorithms represent topics using metadata profiles. When applied to MEDLINE, these are MeSH based profiles. We present experiments that demonstrate the effectiveness of our algorithms. Specifically, our algorithms successfully generate ranked term lists where the key terms representing novel relationships between topics are ranked high.