The JIT is an advanced JavaScript infovis toolkit based on 5 papers about different information visualization techniques.
The JIT implements advanced features of information visualization like Treemaps (with the slice and dice and squarified methods), an adapted visualization of trees based on the Spacetree, a focus+context technique to plot Hyperbolic Trees, and a radial layout of trees with advanced animations (RGraph).
MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text.
’m proud to announce the kick off of the Dojo Offline Toolkit, which SitePen has graciously agreed to sponsor and fund. SitePen is a leader in pushing the web browser in new directions, and I’m extremely excited to be working on this project with the
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267-273(сентября 2004)M3: Article; Accession Number: 14596725; Atun, R. A. 1; Email Address: r.atun@imperial.ac.uk Lennox-Chhugani, N. 1 Drobniewski, F. 2 Samyshkin, Y. A. 1 Coker, R. J. 3; Affiliation: 1: Centre for Health Management, The Business School, Imperial College London, South Kensington Campus, London, UK 2: Department of Infectious Diseases, Guy's King's and St Thomas' Medical School, East Dulwich Grove, London, UK 3: Department of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK; Source Info: Sep2004, Vol. 14 Issue 3, p267; Subject Term: COMMUNICABLE diseases; Subject Term: DISEASE management; Subject Term: MEDICINE, Preventive; Subject Term: EPIDEMICS; Subject Term: MEDICAL care; Subject Term: PUBLIC health; Author-Supplied Keyword: health systems; Author-Supplied Keyword: rapid appraisal; Author-Supplied Keyword: systems analysis; Author-Supplied Keyword: toolkit; NAICS/Industry Codes: 525120 Health and Welfare Funds; Number of Pages: 7p; Illustrations: 1 chart, 3 diagrams; Document Type: Article.