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jsonx from group org.jsonx (version 0.5.0)

A collection of specifications and reference implementations that provide structural and functional patterns intended to help developers work with JSON. The JSONx Framework is based on the JSON Schema Definition Language, which is a schema language inspired by the [XMLSchema] specification. This document introduces the JSONx Framework, and presents a directory of links to its constituent parts and related resources.

Group: org.jsonx Artifact: jsonx
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Artifact jsonx
Group org.jsonx
Version 0.5.0
Last update 27. February 2024
Organization JSONx
URL https://www.jsonx.org/
License The MIT License (MIT)
Dependencies amount 2
Dependencies logging, logback-classic,
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ares-boot-starter-cache-related from group io.github.aresxue.boot (version 1.0.2)

缓存快速使用相关,可自动从配置中心获取缓存服务器信息,底层实现目前为redis,目前设置了默认序列化策略为json, 提供了易用和更强大的api,同时集成了多级缓存功能,用户可通过注解实现多级缓存功能,提供分布式锁实现 Cache fast usage related, can automatically obtain cache server information from the configuration center, the bottom implementation is redis, the default serialization policy is set to json. Provides an easy to use and more powerful api, while integrating multi-level caching capabilities, users can realize multi-level caching capabilities through annotations, providing distributed lock implementation

Group: io.github.aresxue.boot Artifact: ares-boot-starter-cache-related
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Artifact ares-boot-starter-cache-related
Group io.github.aresxue.boot
Version 1.0.2
Last update 05. January 2024
Organization not specified
URL Not specified
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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ares-boot-starter-datasource-related from group io.github.aresxue.boot (version 1.0.2)

数据库相关,底层为mybatis plus,可自动从配置中心获取数据库连接信息,同时封装基础DO和通用字段 (主键、创建时间、修改时间、逻辑删除)及其自动处理(自动注入分布式id),业务中不需关心,以及可选的客户端分库分表和动态数据源方案 Database related, the bottom layer is mybatis plus, can automatically obtain the database connection information from the configuration center, and encapsulate the basic DO and common fields (primary key, creation time, modification time, logical deletion) and its automatic processing (automatic injection of distributed id), business no concern, and optional client sub-database sub-table and dynamic data source solutions

Group: io.github.aresxue.boot Artifact: ares-boot-starter-datasource-related
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Artifact ares-boot-starter-datasource-related
Group io.github.aresxue.boot
Version 1.0.2
Last update 05. January 2024
Organization not specified
URL Not specified
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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moa-kafka from group nz.ac.waikato.cms.moa (version 2023.04.0)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to stream data to MOA from Kafka.

Group: nz.ac.waikato.cms.moa Artifact: moa-kafka
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Artifact moa-kafka
Group nz.ac.waikato.cms.moa
Version 2023.04.0
Last update 03. April 2023
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 2
Dependencies moa, kafka-clients,
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weka-package from group nz.ac.waikato.cms.moa (version 2023.04.0)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to use MOA from within WEKA.

Group: nz.ac.waikato.cms.moa Artifact: weka-package
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Artifact weka-package
Group nz.ac.waikato.cms.moa
Version 2023.04.0
Last update 03. April 2023
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 1
Dependencies moa,
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moa-kafka from group nz.ac.waikato.cms.adams (version 2022.10.17)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to stream data to MOA from Kafka.

Group: nz.ac.waikato.cms.adams Artifact: moa-kafka
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Artifact moa-kafka
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 2
Dependencies moa, kafka-clients,
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weka-package from group nz.ac.waikato.cms.adams (version 2022.10.17)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to use MOA from within WEKA.

Group: nz.ac.waikato.cms.adams Artifact: weka-package
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Artifact weka-package
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 1
Dependencies moa,
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moa from group nz.ac.waikato.cms.adams (version 2022.10.17)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. ADAMS fork.

Group: nz.ac.waikato.cms.adams Artifact: moa
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Artifact moa
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3.0
Dependencies amount 16
Dependencies weka-dev, sizeofag, guava, jclasslocator, jshell-scripting, meka, commons-math3, opencsv, commons-cli, commons-io, jfreechart, gson, ssj, JMathPlot, JMathIO, slf4j-log4j12,
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moa-pom from group nz.ac.waikato.cms.adams (version 2022.10.17)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. ADAMS fork.

Group: nz.ac.waikato.cms.adams Artifact: moa-pom
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Artifact moa-pom
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3.0
Dependencies amount 0
Dependencies No dependencies
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princeton-wordnet-java from group com.estepsoftwareforensics (version 1.0.0)

Princeton WordNet for Java is a simple API which provides access to an english dictionary that is backed by the Princeton University WordNet datasets. This is intended to be a third-party supporting library to any application that requires an english word dictionary -- providing the ability to lookup a word, get its many definitions, and get the list of synonyms and any related words.

Group: com.estepsoftwareforensics Artifact: princeton-wordnet-java
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Artifact princeton-wordnet-java
Group com.estepsoftwareforensics
Version 1.0.0
Last update 30. January 2022
Organization not specified
URL https://estepsoftwareforensics.com
License The Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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