Graph mining refers to extracting knowledge from massive graphs. The data sets of telephone calls we see at AT&T can be viewed as a single graph, with several hundred million phone numbers as nodes, and calls between phone numbers as edges. It is a giant social network, like an internet connections graph or a rich citation network.
XmdvTool is a public-domain software package for the interactive visual exploration of multivariate data sets. It is available on all major UNIX/LINUX/MAC and Window platforms. XmdvTool is developed based on OpenGL and Tcl/Tk. It supports five methods for displaying flat form data and hierarchically clustered data: 1. Scatterplots 2. Star Glyphs 3. Parallel Coordinates 4. Dimensional Stacking 5. Pixel-oriented Display
"LAMDA" means "Learning And Mining from DatA". The main research interests of LAMDA include machine learning, data mining, information retrieval, pattern recognition, neural computation, evolutionary computation, and some other related areas. Currently our research mainly involves: ensemble learning, semi-supervised learning, multi-instance and multi-label learning, cost-sensitive and class-imbalance learning, dimensionality reduction and feature selection, theoretical foundations of evolutionary computation, improving comprehensibility of learning sytems, content-based image retrieval, web search and mining, face recognition, computer-aided medical diagnosis, etc.
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