Extracting Patterns from Large Movement Datasets

Towards The Web of Concepts: Extracting Concepts from Large Datasets

Concepts are sequences of words that represent real or imaginary entities or ideas that users are interested in. As a first step towards building a web of concepts that will form the backbone of the next generation of search technology, we develop a novel technique to extract concepts from large datasets. We approach the problem of concept extraction from corpora as a market-basket problem, ada...

Query Manager (ldl++) Information Repository (postgres) Visualization Manager (idl) Extracting Spatio-temporal Patterns from Geoscience Datasets

distribution of a coupled atmosphere-ocean general circulation model. \Comparison of observed and simulated cyclone frequency distribution as determined by an objective method", At-Figure 10: QUEST visualization manager animation of SLP elds during the life of the cyclone track shown in Figure 9. 6 Conclusion Currently, scientists have access to large repositories of observational and model dat...

Extracting Movement Patterns Using Fuzzy and Neuro-fuzzy Approaches

Extracting Clusters from Large Datasets with Multiple Similarity Measures Using Imscand

We consider the problem of how to group information when multiple similarities are known. For a group of people, we may know their education, geographic location and family connections and want to cluster the people by treating all three of these similarities simultaneously. Our approach is to store each similarity as a slice in a tensor. The similarity measures are generated by comparing featu...

Extracting Syntactic Patterns from Databases

Many database columns contain string or numerical data that conforms to a pattern, such as phone numbers, dates, addresses, product identifiers, and employee ids. These patterns are useful in a number of data processing applications, including understanding what a specific field represents when field names are ambiguous, identifying outlier values, and finding similar fields across data sets. O...