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ooso from group fr.d2-si (version 0.0.5)

Ooso is a serverless implementation of the MapReduce algorithm. It is based on managed cloud services, [Amazon S3](https://aws.amazon.com/s3/) and [AWS Lambda](https://aws.amazon.com/lambda/) and is mainly an alternative to standard ad-hoc querying and batch processing tools such as [Hadoop](http://hadoop.apache.org/) and [Spark](http://spark.apache.org/) .

Group: fr.d2-si Artifact: ooso
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Artifact ooso
Group fr.d2-si
Version 0.0.5
Last update 09. August 2017
Organization not specified
URL https://github.com/d2si-oss/demo-aws-lambda-mapreduce
License ISC License
Dependencies amount 6
Dependencies guava, gson, aws-lambda-java-core, aws-lambda-java-events, aws-java-sdk-lambda, aws-java-sdk-s3,
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zhang-shasha-java from group com.github.tmatek (version 1.01)

A Java implementation of Zhang-Shasha algorithm for ordered tree distance calculation. Calculates a series of transformations required to transform one tree into another. Every transformation has an associated cost. The sum of costs of all transformations is minimal - the tree distance.

Group: com.github.tmatek Artifact: zhang-shasha-java
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Artifact zhang-shasha-java
Group com.github.tmatek
Version 1.01
Last update 20. January 2017
Organization not specified
URL https://github.com/tmatek/zhang-shasha-java
License MIT License
Dependencies amount 1
Dependencies junit,
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isolationForest from group nz.ac.waikato.cms.weka (version 1.0.2)

Class for building and using a classifier built on the Isolation Forest anomaly detection algorithm. For more information see Fei Tony Liu, Kai Ming Ting and Zhi-Hua Zhou. 2008. Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pages 413-422.

Group: nz.ac.waikato.cms.weka Artifact: isolationForest
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Artifact isolationForest
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 21. January 2016
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/isolationForest
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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quickhull3d from group com.github.quickhull3d (version 1.0.0)

This is a 3D implementation of QuickHull for Java, based on the original paper by Barber, Dobkin, and Huhdanpaa and the C implementation known as qhull. The algorithm has O(n log(n)) complexity, works with double precision numbers, is fairly robust with respect to degenerate situations, and allows the merging of co-planar faces.

Group: com.github.quickhull3d Artifact: quickhull3d
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1 downloads
Artifact quickhull3d
Group com.github.quickhull3d
Version 1.0.0
Last update 31. October 2014
Organization John E. Lloyd
URL http://quickhull3d.github.io/quickhull3d
License GNU LESSER GENERAL PUBLIC LICENSE (LGPL) version 3
Dependencies amount 1
Dependencies slf4j-api,
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classAssociationRules from group nz.ac.waikato.cms.weka (version 1.0.3)

Class association rules algorithms (including an implementation of the CBA algorithm). For more information see: W. Li, J. Han, J.Pei: CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules. In ICDM'01:369-376,2001. B. Liu, W. Hsu, Y. Ma: Integrating Classification and Association Rule Mining. In KDD'98:80-86,1998.

Group: nz.ac.waikato.cms.weka Artifact: classAssociationRules
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Download classAssociationRules.jar (1.0.3)
 

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Artifact classAssociationRules
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 29. July 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/classAssociationRules
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, predictiveApriori,
There are maybe transitive dependencies!

minimax4j from group fr.avianey (version 1.0.0)

Minimax4j is a pure java implementation of the minimax algorithm. It provides implementation of standard minimax but also provides alpha-beta pruning, negamax or negascout. This project can be use to implement two-person zero-sum games of perfect information such as chess, reversi, connect four, ...

Group: fr.avianey Artifact: minimax4j
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Artifact minimax4j
Group fr.avianey
Version 1.0.0
Last update 29. December 2013
Organization not specified
URL Not specified
License GNU Lesser General Public License version 3
Dependencies amount 0
Dependencies No dependencies
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marmotta-reasoner from group org.apache.marmotta (version 3.1.0-incubating)

Group: org.apache.marmotta Artifact: marmotta-reasoner
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Artifact marmotta-reasoner
Group org.apache.marmotta
Version 3.1.0-incubating


ordinalLearningMethod from group nz.ac.waikato.cms.weka (version 1.0.2)

An implementation of the Ordinal Learning Method (OLM). Further information regarding the algorithm and variants can be found in: Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.

Group: nz.ac.waikato.cms.weka Artifact: ordinalLearningMethod
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Artifact ordinalLearningMethod
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ordinalLearningMethod
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

NNge from group nz.ac.waikato.cms.weka (version 1.0.2)

Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules). For more information, see Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.

Group: nz.ac.waikato.cms.weka Artifact: NNge
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Download NNge.jar (1.0.2)
 

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Artifact NNge
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/NNge
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!

CLOPE from group nz.ac.waikato.cms.weka (version 1.0.2)

Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data. In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 682-687, 2002.

Group: nz.ac.waikato.cms.weka Artifact: CLOPE
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Artifact CLOPE
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/CLOPE
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!



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