NTNU Norwegian University of Science and Technology   Our studies > Studies

Our courses this term

• TDT46 Informasjonsgjenfinning
• TDT30 Datagruvedrift ("data mining")
• MFEL1010 Medisin for ikke medisinere
• TIĜ4225 Arbeids- og organisasjonspsykologi

Resources to our courses

• TDT30 Datagruvedrift ("data mining")
• TDT46 Informasjonsgjenfinning

Our work so far

• Problem
• Report

Articles - Temporal Mining

• Mining Web Access Logs of an On-line Newspaper
• On Mining General Temporal Association Rules in a Publication Database
• Association Rules and Frequent Itemsets
• Mining Association Rules
• Constant Interaction-Time Scatter/Gather Browsing of Very Large Document Collections
• Discovery of Frequent Episodes in Event Sequences
• Exploiting Background Information in Knowledge Discovery from Text
• Mining Relevant Text from Unlabelled Documents
• kDCI++: a Multi-Strategy Algorithm for Discovering Frequent Sets in Large Databases
• Discovering Trends in Text Databases
• Fast and Effective Text Mining Using Linear-time Document Clustering
• Mining Sequential Patterns
• Analysefunksjonalitet i (temporale) web-arkiv
• A Survey of Temporal Knowledge Discovery Paradigms and Methods
• A Comparison of Document Clustering Techniques
• Web Page Categorization and Feature Selection Using Association Rule and Principal Component Clustering

Articles - Text Mining

• An Architecture for Temporal Data Mining
• Mining Association Rules in Temporal Databases
• Text mining: A new frontier for lossless compression
• The TaxGen Framework: Automating the Generation of a Taxonomy for a Large Document Collection
• Maximizing Text-Mining Performance
• Visualizing Association Rules for Text Mining
• Generating Implicit Association Rules from Textual Data
• Rating the Interest of Rules Induced from Data and within Texts
• Managing the Knowledge Contained in Electronic Documents:
• Text mining of bilingual parallell corpora
• Text mining with conceptual graphs
• A Survey of Temporal Knowledge Discovery Paradigms and Methods
• TimeSleuth: A Tool for Discovering Causal and Temporal Rules
• A New Temporal Pattern Identification Method
• The Babylon Project: Toward an Extensible Text-Mining Platform
• Progressive Partition Miner: Mining Temporal Association Rules
• Combining Information Extraction with Genetic Algorithms
• Discovery of Fuzzy Temporal Association Rules
• Margin-based Active Learning and Background Knowledge
• Mining temporal patterns without predefined time windows
• A Classifier-based Text Mining Approach...

trondoiv @ stud

kjelling @ stud

HTML 4.0