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Data Mining IBM Quest Synthetic Data Generator (for Linux)

(Transform from IBM-datagen lit data to FrIDAWin32 or Linux )

FrIDA (Free Intelligent Data Analysis Toolbox)

Foodmart Data Set with MySQL form

Cancer Program Data Set

KDD Cup 1999 Data

KDD Cup Training And Testing Data

Apriori source code

Netflix Movie Data

UCI Machine Learning Repository

CLIPS: A Tool for Building Expert Systems

SPMF: Sequential Pattern Mining Framework

Security Pairing-based cryptography library 

XML Encryption Library

MIRACL Crypto SDK

MIR(Music Information Retrieval ) MIR DataSet

Music Information Retrieval Datasets by Georg Holzmann

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.

Benchmark Datasets for Schema and Ontology Matching

XML & XBRL XML Repository

XML Encryption Syntax and Processing

XBRL Spy

Related Information of DMLab 101學年度下學期Meeting排班表

Meeting Schedule in Summer, 2012

Steve Jobs Stanford Commencement Speech 2005

101學年度上學期期末聚餐(20130128)

論文報告投影片區 演講