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derby-all from group org.talend.esb (version 10.8.1.2)

Group: org.talend.esb Artifact: derby-all

 

2 downloads
Artifact derby-all
Group org.talend.esb
Version 10.8.1.2
Last update 21. June 2011
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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luzzu-webapp from group io.github.luzzu (version 4.0.0)

Group: io.github.luzzu Artifact: luzzu-webapp
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0 downloads
Artifact luzzu-webapp
Group io.github.luzzu
Version 4.0.0
Last update 26. October 2018
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 6
Dependencies luzzu-semantics, commons-codec, luzzu-highlevel-operations, guava, jackson-mapper-asl, jackson-core-asl,
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luzzu-annotations from group io.github.luzzu (version 4.0.0)

Group: io.github.luzzu Artifact: luzzu-annotations
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0 downloads
Artifact luzzu-annotations
Group io.github.luzzu
Version 4.0.0
Last update 26. October 2018
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies luzzu-semantics, luzzu-assessment, luzzu-lowlevel-operations,
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luzzu-assessment from group io.github.luzzu (version 4.0.0)

Group: io.github.luzzu Artifact: luzzu-assessment
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0 downloads
Artifact luzzu-assessment
Group io.github.luzzu
Version 4.0.0
Last update 26. October 2018
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies luzzu-semantics, luzzu-lowlevel-operations, luzzu-ld-qualitymetrics-commons,
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luzzu from group io.github.luzzu (version 4.0.0)

Luzzu is a Quality Assessment Framework for Linked Open Datasets. It is a generic framework based on the Dataset Quality Ontology (daQ), allowing users to define their own quality metrics. Luzzu is an integrated platform that: - assesses Linked Data quality using a library of generic and user-provided domain specific quality metrics in a scalable manner; - provides queryable quality metadata on the assessed datasets; - assembles detailed quality reports on assessed datasets. Furthermore, the infrastructure: - scales for the assessment of big datasets; - can be easily extended by the users by creating their custom and domain-specific pluggable metrics, either by employing a novel declarative quality metric specification language or conventional imperative plugins; - employs a comprehensive ontology framework for representing and exchanging all quality related information in the assessment workflow; - implements quality-driven dataset ranking algorithms facilitating use-case driven discovery and retrieval.

Group: io.github.luzzu Artifact: luzzu
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0 downloads
Artifact luzzu
Group io.github.luzzu
Version 4.0.0
Last update 26. October 2018
Newest version Yes
Organization ADAPT Centre, Trinity College Dublin, Ireland
URL https://luzzu.github.io/Framework/
License GNU GENERAL PUBLIC LICENSE, Version 2.0
Dependencies amount 15
Dependencies hamcrest-all, apache-jena-libs, jena-core, log4j, slf4j-api, jcl-over-slf4j, slf4j-log4j12, slf4j-jdk14, commons-collections4, jackson-core, httpclient, httpcore, httpcore-nio, httpasyncclient, httpasyncclient-cache,
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luzzu-webapp from group de.unibonn.iai.eis (version 2.0.1)

Group: de.unibonn.iai.eis Artifact: luzzu-webapp
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0 downloads

luzzu-annotations from group de.unibonn.iai.eis (version 2.0.1)

Group: de.unibonn.iai.eis Artifact: luzzu-annotations
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0 downloads
Artifact luzzu-annotations
Group de.unibonn.iai.eis
Version 2.0.1
Last update 09. June 2017
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies luzzu-semantics, luzzu-assessment, luzzu-operations,
There are maybe transitive dependencies!

luzzu-assessment from group de.unibonn.iai.eis (version 2.0.1)

Group: de.unibonn.iai.eis Artifact: luzzu-assessment
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0 downloads
Artifact luzzu-assessment
Group de.unibonn.iai.eis
Version 2.0.1
Last update 09. June 2017
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies luzzu-semantics,
There are maybe transitive dependencies!

luzzu from group de.unibonn.iai.eis (version 2.0.1)

Group: de.unibonn.iai.eis Artifact: luzzu
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mahout from group org.apache.mahout (version 0.13.0)

Mahout's goal is to build scalable machine learning libraries. With scalable we mean: Scalable to reasonably large data sets. Our core algorithms for clustering, classification and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm. However we do not restrict contributions to Hadoop based implementations: Contributions that run on a single node or on a non-Hadoop cluster are welcome as well. The core libraries are highly optimized to allow for good performance also for non-distributed algorithms. Scalable to support your business case. Mahout is distributed under a commercially friendly Apache Software license. Scalable community. The goal of Mahout is to build a vibrant, responsive, diverse community to facilitate discussions not only on the project itself but also on potential use cases. Come to the mailing lists to find out more. Currently Mahout supports mainly four use cases: Recommendation mining takes users' behavior and from that tries to find items users might like. Clustering takes e.g. text documents and groups them into groups of topically related documents. Classification learns from existing categorized documents what documents of a specific category look like and is able to assign unlabelled documents to the (hopefully) correct category. Frequent itemset mining takes a set of item groups (terms in a query session, shopping cart content) and identifies, which individual items usually appear together.

Group: org.apache.mahout Artifact: mahout
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0 downloads
Artifact mahout
Group org.apache.mahout
Version 0.13.0
Last update 15. April 2017
Newest version Yes
Organization The Apache Software Foundation
URL http://mahout.apache.org
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!



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