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Easy data mining of association rules - EasyMiner - pattern mining in the browser

EasyMiner easy association rule mining. EasyMiner - pattern mining in the browser. EasyMiner is a web interface to the association rule mining and preparation of classification rule sets based on two variants of data mining backend: system LISp-Miner. Or the system R (package APRIORI). Its user interface resembles a web search engine. EasyMiner/R: Web Interface for Rule Learning and Classification in R. Run the latest version of EasyMiner/R. Data mining of business rules - questionnaire.

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Easy data mining of association rules - EasyMiner - pattern mining in the browser | easyminer.eu Reviews

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EasyMiner easy association rule mining. EasyMiner - pattern mining in the browser. EasyMiner is a web interface to the association rule mining and preparation of classification rule sets based on two variants of data mining backend: system LISp-Miner. Or the system R (package APRIORI). Its user interface resembles a web search engine. EasyMiner/R: Web Interface for Rule Learning and Classification in R. Run the latest version of EasyMiner/R. Data mining of business rules - questionnaire.

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3 feature tutorial

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Easy data mining of association rules - EasyMiner - pattern mining in the browser | easyminer.eu Reviews

https://easyminer.eu

EasyMiner easy association rule mining. EasyMiner - pattern mining in the browser. EasyMiner is a web interface to the association rule mining and preparation of classification rule sets based on two variants of data mining backend: system LISp-Miner. Or the system R (package APRIORI). Its user interface resembles a web search engine. EasyMiner/R: Web Interface for Rule Learning and Classification in R. Run the latest version of EasyMiner/R. Data mining of business rules - questionnaire.

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easyminer.eu

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Screencasts - EasyMiner - pattern mining in the browser

http://www.easyminer.eu/screencasts

EasyMiner easy association rule mining. Demo: Web App and REST API. Why look at video, when you can try out EasyMiner for real on our demo server. Below, you can find screencasts of features coming to EasyMiner. Screencast: Datamining of classification business rules (EasyMiner with Business rules editor). Accompanying RuleML'14 Challenge paper Business Rule Learning with Interactive Selection of Association Rules.

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LISp-Miner backend - EasyMiner - pattern mining in the browser

http://www.easyminer.eu/lisp-miner

EasyMiner easy association rule mining. Demo: Web App and REST API. Is the original (now alternative) mining backend for EasyMiner. LISp-Miner is academic pattern mining system developed from mid-1990s.The theoretical foundation of the system is constituted by the GUHA method. And the observational calculi. LISp-Miner is primarily a desktop Windows application, but it can be run also in Linux using wine. EasyMiner - LISp-Miner integration. EasyMiner interacts with LISp-Miner using its LM-Connect. Subpatt...

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About us - EasyMiner - pattern mining in the browser

http://www.easyminer.eu/about-us

EasyMiner easy association rule mining. Demo: Web App and REST API. EasyMiner is academic software. Project contact: Tomáš Kliegr (tomas.kliegr at vse.cz). You can find more information about our department and projects on following web pages:. Department of Information and Knowledge Engineering. Faculty of Informatics and Statistics.

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Feature tutorial - EasyMiner - pattern mining in the browser

http://www.easyminer.eu/feature-tutorial

EasyMiner easy association rule mining. Demo: Web App and REST API. A: The list of data fields in the uploaded dataset. B: Drag and drop data fields to attribute palette to preprocess them, creating attributes. C: Drag and drop attributes to rule pattern to define association rule learning task. D: After clicking on Mine rules, Results pane shows the list of discovered rules. E: Marking interesting rules in the Results pane saves them to the rule clipboard, which persists across rule learning tasks.

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br-dev.lmcloud.vse.cz

EasyMiner

https://br-dev.lmcloud.vse.cz/easyminercenter

Easy association rule mining. EasyMiner supports data mining of association rules using LISp-Miner or ARULES backend. EasyMiner supports preparation of classification models based on association rules mining. Editor of classification rules is also available. EasyMiner supports export of data mining models with visualisations in HTML form. The data mining reports can be used in your own analytical report. No installation requirements - easy upload your data in CSV. Go to EasyMiner mining UI!

kliegr.eu

Software projects - Tomáš Kliegr

http://www.kliegr.eu/software-projects

Association Rule Classification R package. This package for R implements the Classification based on Associations algorithm published in. Liu, B. Hsu, W. and Ma, Y (1998). Integrating Classification and Association Rule Mining. Proceedings KDD-98, New York, 27-31 August. AAAI. pp 80-86. Supports numerical predictor attributes via parameter-free supervised discretization. No meta parameters with automatic tuning of support and confidence thresholds. Also available in CRAN. Václav Zeman and Jaroslav Kuchař.

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Easy data mining of association rules - EasyMiner - pattern mining in the browser

EasyMiner easy association rule mining. EasyMiner - pattern mining in the browser. EasyMiner is a web interface to the association rule mining and preparation of classification rule sets based on two variants of data mining backend: system LISp-Miner. Or the system R (package APRIORI). Its user interface resembles a web search engine. EasyMiner/R: Web Interface for Rule Learning and Classification in R. Run the latest version of EasyMiner/R. Data mining of business rules - questionnaire.

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