Search Results for "data analysis"

Visit the new site: https://citespace.podia.com CiteSpace generates interactive visualizations of structural and temporal patterns and trends of a scientific field. It facilitates a systematic review of a knowledge domain through an in-depth visual analytic process. It can process citation data from popular sources such as the Web of Science, Scopus, Dimensions, and the Lens. CiteSpace also supports basic visual analytic functions for datasets without citation-related information, for...

OrthoInspector is a new software system for orthology/paralogy analysis. Its purpose is to facilitate the installation and the maintenance of a database describing orthology/inparalogy relations and to provide tools to exploit these data.

Ontea - Pattern based Semantic Annotation Platform. Ontea search or create semantic meta data from text or documents using pattern based approaches. Implementation currently includes regular expressions (regex) patterns

REPEATS is a bioinformatics software designed to help biologists to analyze sequence - either nucleotide or protein - for interspersed repeats. It offers functionalities to manage sequence data, analyze and store search results for further analysis.

This research project seeks to use compiler techniques to perform an attribute-based data-flow analysis on (MOF/UML)models allowing for a syntax-driven validation of a model's static semantics as well as an abstract interpretation of i dynamic behavior.

Aim is to extract the information from the cadastral maps which is stored as scanned images. The extracted information is stored using graph representation. Then we convert these infomation in to CityGML format to visualize and communicate.

Facilitates data mining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.

Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other