Search Results for "association rule mining"
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Showing 27 open source projects for "association rule mining"
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We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
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Evolia is a web and mobile platform that connects enterprises with 1000’s of local shift workers and offers free workforce scheduling and time and attendance solutions. Is your business on Evolia?
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1
airgeddon
This is a multi-use bash script for Linux systems
.... Offline password decrypting on WPA/WPA2 captured files for personal networks (Handshakes and PMKIDs) using a dictionary, brute-force, and rule-based attacks with aircrack, crunch and hashcat tools. Enterprise networks captured password decrypting based on john the ripper, crunch, asleap and hashcat tools. GPU support available for hashcat. Only Rogue/Fake AP mode to sniff using external sniffer (Hostapd + DHCP + DoS). -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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glider
glider is a forward proxy with multiple protocols support
... & priority based forwarder choosing: Config Examples. DNS forwarding server. Force upstream querying by TCP. Association rules between dns and forwarder choosing. Association rules between dns and ipset. dns cache support. Custom dns record. IPSet management (linux kernel version >= 2.6.32). Add ip/cidrs from rule files on startup. Add resolved ips for domains from rule files by dns forwarding server. Serve HTTP and socks5 on the same port. Periodical availability checking for the forwarder. -
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Mycat2
MySQL Proxy using Java NIO based on Sharding SQL, Calcite
Open source intermediate for the MySQL database network protocol written in Java language, open source of GPLv3 protocol. Custom Calcite distributed query engine, edit SQL to relationship algebra expression, rule optimization engine, and cost optimization engine, generate physical execution plan, support logic view. Any cross-currant cross-table join query, support cross-currant cross-table non-associated query, support cross-currant cross-table association query, support cross-currant cross... -
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Weka
Machine learning software to solve data mining problems
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. -
6
gormt
database to golang struct
mysql database to golang struct conversion tools base on gorm(v1/v2). You can automatically generate golang sturct from mysql database. big Camel-Case Name Rule, JSON tag. Database tables, column field annotation support. JSON tag and JSON tag output. gorm.Model Support export gorm.model. PRIMARY_KEY Specifies column as primary key. UNIQUE Specifies column as unique. NOT NULL Specifies column as NOT NULL. INDEX Create index with or without name, same name creates composite indexes. UNIQUE_INDEX... -
7
battleof7
War of seventh kings
You are king, who rule your people, collecting tax, researching technology, producing war machines, training specialist, mining raw materials and trade gods. -
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Chronological Cohesive Units
The experimental source code for the paper
The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming" -
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360-FAAR Firewall Analysis Audit Repair
360-FAAR Analyze FW1 Cisco Netscreen Policy Offline Using Config/Logs
... CIDR and text filters to split rulebases / policies into target sections and identify connectivity for further analysis. 360-FAAR supports, policy to log association, object translation, rulebase reordering and simplification, rule moves and duplicate matching automatically. Allowing you to move rules to where you need them. Build new rulebases from scratch with a single 'any' rule and log files, with the 'res' and 'name' options. Switch into DROPS mode to analyse drop log entries. -
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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MYRA
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. This project is now hosted at: https://github.com/febo... -
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Lattice Miner is a data mining prototype for creating, visualizing and exploring concept (Galois) lattices. It allows the generation of formal concepts and association rules.
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Reviz-it
Software tools to re-tell stories in a better way and expand them
... to find which ones are inspiring. - Use the inspiring word clouds to rephrase the story in an original way, then expand it. Enrich with various text mining algorithms to retrieve automatically the different ways the same thing is said in a given context (series of publications on same topic or from same organization for example): latent semantic analysis, topic modeling, rule-based text mining, etc. This allows rewriting a text with the specific 'style' of a corpus. -
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Fingrams Generator
Stand-alone software tool able to generate and visualize fingrams.
Stand-alone software tool able to generate and visualize fingrams. It handles fuzzy systems designed by whatever fuzzy modeling tool. This tool takes as input a standard configuration file easy to be generated from a fuzzy system. Currently, Fingrams can be generated for classification, regression fuzzy rule based systems and fuzzy association rules. GUAJE [http://www.softcomputing.es/guaje], and KEEL [http://www.keel.es] are able to automatically produce the required input file. -
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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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In this project, the problem of privacy preserving in association rule mining is solved based on EMO.
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16
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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SubPatCNV
Approximate association pattern mining algorithm for CNVs.
... samples?". SubPatCNV is the implementation of a variation of approximate association pattern mining algorithm under a spatial constraint on the positional CNV probe features. The implementation scales to high-density array data with hundreds of thousands features. -
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Association rule mining is an important task in the field of data mining, and many efficient algorithms have been proposed to address this problem. However, a large portion of rules reported by these algorithms just satisfy the user-defined constraints purely by accident, and cannot express real systematic effects in data sets. Thus, such rules are false positives that could be filtered out through statistical significance testing. In the context of association rule discovery, the permutation...
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19
EPARandSP
Computing Exact Permutationp-Values for Association Rules
Association rule mining is an important task in the field of data mining, and many efficient algorithms have been proposed to address this problem. However, a large portion of rules reported by these algorithms just satisfy the user-defined constraints purely by accident, and cannot express real systematic effect in data sets. Thus, such rules are false positives that should be filtered out through statistical significance testing. In the context of association rule discovery... -
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Classical Apriori and Reverse Algorithm
Apriori Algorithm and its Reverse Approach with Comparison
Apriori Algorithm and its Reverse Approach with Comparative Analysis in terms of Execution Time Apriori Algorithm is used in Data Mining for Association Rule Mining -
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yacaree: Yet Another Closure-based Association Rules Experimentation Environment (Development stalled here, check out under Wiki to find where it went.)
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Ruleminer is an experimental tool for performing various data-mining tasks, especially focused on searching for association rules. The aim is to research the association rules mining process and to develop new approaches for solving the related problems.
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Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
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Ferda is a user friendly data mining tool. It is a modular distributed multiplatform framework based on Internet Communications Engine. Ferda is very powerful in working with association rules.
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Galicia is intended as a multi-tool open source platform for creating, visualizing and storing concept/Galois lattices. It features a set of FCA algorithmic methods for lattice construction and layout and for association rule extraction.