Forecasting with neural networks
Information and Management
Improving the accuracy of Institute for Scientific Information's journal impact factors
Journal of the American Society for Information Science
Applications of machine learning and rule induction
Communications of the ACM
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Communications of the ACM
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Knowledge discovery by inspection
Decision Support Systems - Special issue: knowledge discovery and its applications to business decision making
Medical Data Mining on the Internet: Research on a Cancer Information System
Artificial Intelligence Review - Special issue on data mining on the Internet
Methodological and practical aspects of data mining
Information and Management
Data mining for customer service support
Information and Management
Dynamic rule refinement in knowledge-based data mining systems
Decision Support Systems - Special issue on decision support in the new millennium
Building Data Mining Applications for CRM
Building Data Mining Applications for CRM
An intelligent middleware for linear correlation discovery
Decision Support Systems
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Distributed data mining on the grid
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Journal of the American Society for Information Science and Technology
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
Credit scoring with a data mining approach based on support vector machines
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Ontology-based data mining approach implemented for sport marketing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Query construction for user-guided knowledge discovery in databases
Information Sciences: an International Journal
Discovering golden nuggets: data mining in financial application
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Predicting e-commerce company success by mining the text of its publicly-accessible website
Expert Systems with Applications: An International Journal
Improved multilevel security with latent semantic indexing
Expert Systems with Applications: An International Journal
Technology classification with latent semantic indexing
Expert Systems with Applications: An International Journal
Protecting research and technology from espionage
Expert Systems with Applications: An International Journal
Knowledge management vs. data mining: Research trend, forecast and citation approach
Expert Systems with Applications: An International Journal
How to identify the trends of services: GTM-TT service map
Expert Systems with Applications: An International Journal
Weak signal identification with semantic web mining
Expert Systems with Applications: An International Journal
Quantitative cross impact analysis with latent semantic indexing
Expert Systems with Applications: An International Journal
Smart meter monitoring and data mining techniques for predicting refrigeration system performance
Expert Systems with Applications: An International Journal
Semantic compared cross impact analysis
Expert Systems with Applications: An International Journal
Hi-index | 12.07 |
Using a bibliometric approach, this paper analyzes research trends and forecasts of data mining from 1989 to 2009 by locating heading ''data mining'' in topic in the SSCI database. The bibliometric analytical technique was used to examine the topic in SSCI journals from 1989 to 2009, we found 1181 articles with data mining. This paper implemented and classified data mining articles using the following eight categories-publication year, citation, country/territory, document type, institute name, language, source title and subject area-for different distribution status in order to explore the differences and how data mining technologies have developed in this period and to analyze technology tendencies and forecasts of data mining under the above results. Also, the paper performs the K-S test to check whether the analysis follows Lotka's law. Besides, the analysis also reviews the historical literatures to come out technology diffusions of data mining. The paper provides a roadmap for future research, abstracts technology trends and forecasts, and facilitates knowledge accumulation so that data mining researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon ''success breeds success'' is more common in higher quality publications.