|Data Mining||IBM Quest Synthetic Data Generator (for Linux)|
|Security||Pairing-based cryptography library|
|MIR(Music Information Retrieval )||MIR DataSet|
|Mathematic & Stastics Library||Apache Commons: Math (in Java)
GNU Multi-Precision (in C/C++, C#, Python )
jScience contains packages for numerical linear algebra, for computing with units (e.g., kg., sec.), and other utility operations.
Colt provides a set of Open Source Libraries for High Performance Scientific and Technical Computing in Java.
JAMA is comprised of six Java classes: Matrix, CholeskyDecomposition, LUDecomposition, QRDecomposition, SingularValueDecomposition and EigenvalueDecomposition.
SuanShu is an object-oriented, high performance, extensively tested, and professionally documented library of numerical methods. It is a large collection of numerical algorithms so coded such that they are solidly object-oriented, unified and testable.
GEM (Generation of weather Elements for Multiple applications) model. This is an on-going research and development project, as well, in joint partnership between the NRCS National Water and Climate Center and the USDA Agricultural Research Service (ARS).
R.Net enables .NET Framework to collaborate with R statistical computing. R.NET requires .NET Framework 4 and native DLLs installed with R environment. You need no other extra installations. Enjoy statistics and programming in your special language with R.
Math.NET Numerics aims to provide methods and algorithms for numerical computations in science, engineering and every day use. Covered topics include special functions, linear algebra, probability models, random numbers, interpolation, integral transforms and more.
Seuoia: A fast EMSO-solver for graphs of small treewidth. Sequoia solves MSO-definable problems on graphs of small treewidth.
|Ontology & Schema Matching||COMA 3.0 is a schema and ontology matching tool. It extends our previous prototypes COMA and COMA++ by an enhanced workflow management and additional features like ontology merging. Furthermore, it offers a comprehensive infrastructure to solve large real-world match problems. The graphical interface offers a variety of interactions, allowing the user to influence in the match process in many ways. COMA 3.0 functionality is used within the new QuickMig prototype focussing on the generation of executable mappings for data migration.|
|XML & XBRL||XML Repository|
|Related Information of DMLab||101學年度下學期Meeting排班表|