Search Results for "mining windows" - Page 2
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Showing 143 open source projects for "mining windows"
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PayPeer
FAST AND SECURED PAYMENTS | BLOCKCHAIN TECHNOLOGY POWERED
PayPeer can be summarized as a decentralized payment network where computing power is required in order to mint new "coins". It can be used to send money all around the world at any time of day over the internet, much like an email. PayPeer "addresses" are used similarly to email addresses for sending and receiving payments. PayPeer is based on Bitcoin and overall it works very much like Bitcoin except that it uses a very different mechanism for maintaining address balances to improve... -
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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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Web Application Protection
Tool to detect and correct vulnerabilities in PHP web applications
WAP automatic detects and corrects input validation vulnerabilities in web applications written in PHP Language (version 4.0 or higher) and with a low rate of false positives. WAP detects the following vulnerabilities: - SQL injection using MySQL, PostgreSQL and DB2 DBMS - Reflected cross-site scripting (XSS) - Stored XSS - Remote file inclusion - Local file inclusion - Directory traversal - Source code disclosure - OS command injection - PHP code injection WAP is a static... -
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The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization).
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Solarex is a space traveling, trading and prospecting game built upon a stellar system generator. There is a galaxy full of stellar systems with all sorts of treasures to explore - so enter your spaceship, buy some fuel and head off!
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SCaVis
Scientific Computation and Visualization Environment
SCaVis is an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential... -
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The c2001 spatio-temporal mining library
An open source spatio-temporal data mining library
Current functions: 1. The General Association Rule Mining Framework(GARMF) library, which support mining association rules from transactions(boolean, weighted, fuzzy), spatial datasets (vector and raster) and spatio-temporal datasets (raster snapshots). Besides it support incremental mining. 2. Rule Filtering Library (RFL), a library for rule evaluation. 3. Besides, DAP-Shell, a GUI shell for GARMF and RFL, will be provided. However I'll pay no more attention on it. -
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Cenobi
cost estimation and management accounting, using neural networks
Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to... -
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Appliance Usage Model Manager
A tool to extract and handle appliance usage models
The appliance usage model manager is a tool that can be used to model device demand by means of machine learning and data mining techniques. We propose a general purpose interface to handle such kind of models, which is used to query various types of models which can be learned from energy consumption datasets. The tool provides a hub where models can be loaded and used in the HEMS market simulator. Please check the documentation in the file section if you want to get further information... -
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aprioriProcess
Apriori is designed to operate on databases containing transactions.
The Apriori Algorithm is an influential algorithm for mining frequent itemsets for boolean association rules. Key Concepts : • Frequent Itemsets: The sets of item which has minimum support (denoted by Li for i th -Itemset). • Apriori Property: Any subset of frequent itemset must be frequent. • Join Operation: To find Lk , a set of candidate k-itemsets is generated by joining Lk-1 with itself. -
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libVMR
VMR - machine learning library
libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR). The library has been designed to learn from... -
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FlexDM
Simple, parallel and fault-tolerant data mining using WEKA
FlexDM has moved to http://madiflannery.github.io/FlexDM/ -
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VSViewer3D
3D Virtual Screening Viewer
This project is an interactive viewer for 3D virtual screening data. -
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giServer
giServer the easy to use and extensible batch and integration server
The giServer is an easy-to-use integration server for process automation and event-driven or scheduled execution of batch jobs. Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records -
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Graph-RAT is a database abstraction layer designed to make it easy to use a large library of graph-analysis routines on a database as well as add new kinds of algorithms to data mining.
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cmotif
A method for mining conditional phosphorylation motifs
Phosphorylation motifs represent position-specific amino acid patterns around the phosphorylation sites in the set of phosphopeptides. The discovery of phosphorylation motifs is a very valuable work in bioinformatics. Although several algorithms have been proposed to uncover phosphorylation motifs, the problem of efficiently discovering a set of significant motifs with sufficiently high coverage and non-redundancy still remains unsolved. In this paper, we propose an algorithm called C-Motif... -
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Cost-sensitive Classifiers
Adaboost extensions for cost-sentive classification
Adaboost extensions for cost-sentive classification CSExtension 1 CSExtension 2 CSExtension 3 CSExtension 4 CSExtension 5 AdaCost Boost CostBoost Uboost CostUBoost AdaBoostM1 Implementation of all the listed algorithms of the cluster "cost-sensitive classification". They are the meta algorithms which requires base algorithms e.g. Decision Tree Moreover, Voting criteria is also required e.g. Minimum expected cost criteria Input also requires to load an arff file and a... -
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Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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gannu
Java API and tools for performing NLP and other AI tasks
Java API and tools for performing a wide range of AI tasks such as: word sense disambiguation (released), optimization (5 Evolutionary Algorithms Implemented ETA February 2014), opinion mining (ETA November 2014) and text wikification (ETA July 2014). Gannu includes some graphical interfaces for scientific purposes. When using Gannu please cite: *Jiménez, F. V., Gelbukh, A. F. & Sidorov, G. (2013). Simple Window Selection Strategies for the Simplified Lesk Algorithm for Word Sense... -
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TextProcessor
A Java package to preprocess text datasets for posterior text analysis
The TextProcessor Java package is a text processing toolkit, which provides some frequently used text processing functions such as stemming, removing stop-words, generating a term vocabulary, and calculating the term-doc frequency matrix. Basic topic mining models such as LDA and sparse NMF are also supported. The package can also generate feature files from a given text dataset with LDA and LIBSVM format for posterior procedures such as classification or clustering. The toolkit is also... -
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Library for fingerprinting (decomposition) of chemical compounds. It has several tweaking possibilities and exporting options for data mining toolkits.
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TML - Text Mining Library for LSA & CMM
TML is a Java Library for LSA and extracting Concept Maps from text
TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml -
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NOTE: UBMoD is no longer actively developed and we encourage you to download Open XDMoD as a replacement for UBMoD. Open XDMoD has been developed to provide detailed information on resource utilization and performance for academic and industrial HPC centers. More information is available at http://xdmod.sourceforge.net/ UBMoD is a data warehouse and web portal for mining statistical data from resource managers in high-performance computing environments. UBMoD presents resource...
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SquidCube
Squid log data warehouse
Feed Squid logs into PostgreSQL database, then use Pentaho BI server for data mining. -
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Approximate Subgraph Matching Algorithm
Approximate Subgraph Matching Algorithm for Dependency Graphs
The subgraph matching problem (subgraph isomorphism) is NP-complete. Previously, we designed an exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach (http://esmalgorithm.sourceforge.net). We further designed an approximate subgraph matching (ASM) algorithm that is capable of detecting approximate subgraph matching based on a subgraph distance. Assume that the graph G and the subgraph Gs have m and n vertices, and km and kn edges respectively,...
