Search Results for "data mining projects ieee"
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Showing 22 open source projects for "data mining projects ieee"
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Excel Writer
A standalone, portable Ada package for producing Excel spreadsheets
Excel_Out is a standalone, portable Ada package for writing Excel spreadsheets with basic formattings and formulas, easily and programmatically. Enables the automatic production of reports. No interaction needed with Excel or MS Office. More information on: http://excel-writer.sf.net Alire crate: https://alire.ada.dev/crates/excel_writer -
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Rachota
Easy-to-use personal time tracking application for Windows and Unix
Rachota is a portable application for time-tracking your work on different projects. It runs on Windows, Linux, Solaris and Mac. Rachota displays time data in diagram form, creates customized reports or invoices and provides suggestions to increase your efficiency. -
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BitMagic Library
Compressed bit-sets, sparse bit matrices and algorithms
BitMagic - C and C++ library implementing dynamic bitvectors and bit-set algorithms with several types of on-the-fly, adaptive compression. Designed for use in databases, search systems, data-mining algorithms, scientific projects. The core of the library is C++, but it provides C-compatibility wrappers and can be compiled without C++ runtime. Optimizations for Intel SSE2, SSE4.2 and AVX2. -
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stkpp
C++ Statistical ToolKit
... in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
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SciXMiner
Open-Source MATLAB toolbox for multidimensional data mining
SciXMiner is a versatile MATLAB toolbox for the analysis of multidimensional data. It is the successor of Gait-CAD (https://sourceforge.net/projects/gait-cad/). -
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FastaTools
Performs several operations to Fasta protein databases
.... (2014). A collection of open source applications for mass spectrometry data mining. PROTEOMICS, 14(20), 2275–2279. https://doi.org/10.1002/pmic.201400124 -
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GEOMS2
Geostatistics and geosciences modeling software
...): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download -
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DSTK - Data Science TooKit 3
Data and Text Mining Software for Everyone
DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ DSTK Engine is like R. DSTK ScriptWriter offers GUI to write DSTK script. DSTK Studio offers SPSS Statistics like GUI... -
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All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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Mass-based dissimilarity
A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure. References: Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779 The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo . Since this software is licensed under... -
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Red-RF
Reduced Random Forest for big data
Red(uced)-RF, a new type of Random Forests that adopts dynamic data reduction and weighted upvoting techniques. Red-RF is favorably applicable to big data: it demonstrates an accurate and efficient performance while achieving a considerable data reduction w.r.t. dataset size. Manuscripts available on IEEE Xplore: H. Mohsen, H. Kurban, K. Zimmer, M. Jenne and M. Dalkilic. Red-RF: Reduced Random Forests using priority voting & dynamic data reduction. In IEEE BigData Congress'2015. H. Mohsen... -
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This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian...
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Mr.FSM
Large-Scale Frequent Subgraph Mining in MapReduce
This is the program used in the following paper: Wenqing Lin, Xiaokui Xiao, and Gabriel Ghinita. Large-Scale Frequent Subgraph Mining in MapReduce. In Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE), pages 844-855, 2014. Please cite the paper if you choose to use the program. If having any problems, please report to {wlin1 at ntu dot edu dot sg}. -
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Persica-A new Persian corpus for NLP
This project presents a new corpus for NEWS text analysis in Persian
Lack of multi-application text corpus despite of the surging text data is a serious bottleneck in the text mining and natural language processing especially in Persian language. This project presents a new corpus for NEWS articles analysis in Persian called Persica. NEWS analysis includes NEWS classification, topic discovery and classification, category classification and many more procedures. Dealing with NEWS has special requirements and first of all a valid and reliable corpus to perform... -
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RepoMiner
A tool for mining software repository
RepoMiner is a library for the Eclipse development environment, it is easily extensible and is able to perform collection of a large amount of data from software repositories, in order to extract an accurate historical analysis of the entire development process. The main components are: metrics extractor for Java projects, Issue extractor for the issue tracker Bugzilla and a fine-grained changes extractor for Git repositories. -
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RedLDA
Redundancy Aware LDA Gibbs Sampler
Redundancy-Aware Topic Modeling Copy Paste Redundancy or Data Duplication are prevalent in many corpora.This redundancy has a negative impact on the quality of text mining and topic modeling in particular. This is a software package of a novel variant of Latent Dirichlet Allocation (LDA) topic modeling, Red-LDA, which takes into account the inherent redundancy of corpora when modeling content. My site: http://www.cs.bgu.ac.il/~cohenrap/ Lab site: http://www.cs.bgu.ac.il/~nlpproj/ Sister... -
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LTS: Learning To Search
Discriminative subgraph mining by learning from search history
This is an optimized Java implementation of the algorithm from "LTS: Discriminative Subgraph Mining by Learning from Search History" in Data Engineering (ICDE), IEEE 27th International Conference, pages 207-218, 2011. The Learning to Search (LTS) algorithm mines for discriminative subgraphs. Given two sets of graphs, with one set labelled positive, it finds subgraphs that are common in the positive graphs and uncommon in the negative graphs. In other words, the occurrences of these subgraphs... -
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LTS: Learning to Search
Discriminative subgraph mining by learning from search history
LTS (Learning to Search) is an implementation of an algorithm described in "LTS: Discriminative Subgraph Mining by Learning from Search History" in Data Engineering (ICDE), IEEE 27th International Conference, pages 207-218, 2011. The purpose of LTS is to find discriminative subgraphs, which are smaller graphs that are embedded in larger graphs that all share a certain trait. A discriminative subgraph can help to characterize a complex graph and can be used to classify new graphs with unknown... -
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This serves as a repository for various research projects relating to data mining and text analysis.
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Isolation Forest detects data-anomalies using binary trees. Platform: R (www.r-project.org) Reference: Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou, “Isolation Forest”, IEEE International Conference on Data Mining 2008 (ICDM 08)
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A group a subprojects for Data Cleaning projects, mainly as a step of a Data Mining Project. Visit www.datacleaningopensource.com to review our current applications or if you want to add yours. NOTE: PROGRAMMING SKILLS ARE REQUIRED.
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