Download JAR files tagged by knowledge with all dependencies

ODFDOM is an OpenDocument Format (ODF) framework. Its purpose is to provide an easy common way to create, access and manipulate ODF files, without requiring detailed knowledge of the ODF specification. It is designed to provide the ODF developer community with an easy lightwork programming API portable to any object-oriented language. The current reference implementation is written in Java.

ODFDOM is an OpenDocument Format (ODF) framework. Its purpose is to provide an easy common way to create, access and manipulate ODF files, without requiring detailed knowledge of the ODF specification. It is designed to provide the ODF developer community with an easy lightwork programming API portable to any object-oriented language. The current reference implementation is written in Java.

Knowledge Flow plugin that provides a Knowledge Flow step that wraps around a Groovy script. The plugin generates a fully compilable template Groovy script that implements various Knowledge Flow interfaces. The user can fill in the methods that are necessary to accomplish the desired logic. The script is compiled at runtime and the Groovy component passes incoming events to the script and collects and passes on generated events.

Class implementing the predictive apriori algorithm for mining association rules. It searches with an increasing support threshold for the best 'n' rules concerning a support-based corrected confidence value. For more information see: Tobias Scheffer: Finding Association Rules That Trade Support Optimally against Confidence. In: 5th European Conference on Principles of Data Mining and Knowledge Discovery, 424-435, 2001.

This package provides four search methods for attribute selection: ExhaustiveSearch, GeneticSearch, RandomSearch and RankSearch. See: David E. Goldberg (1989). Genetic algorithms in search, optimization and machine learning. Addison-Wesley. Mark Hall, Geoffrey Holmes (2003). Benchmarking attribute selection techniques for discrete class data mining. IEEE Transactions on Knowledge and Data Engineering. 15(6):1437-1447.

The CKIP (Chinese Knowledge and Information Processing) is a online service for separate Chinese sentence. The service maintain by [CKIP group](http://godel.iis.sinica.edu.tw/CKIP/) in [Sinica](http://www.sinica.edu.tw). CKIPClient-Java is a client library that simplify the procedure of TCP scoket communication between client and CKIP server. Developer can use CKIPClient-Java to access CKIP service more easily. The CKIPClient-Java licensed under Apache License Version 2.0. CKIP 是中研院詞庫小組開發的中文斷詞系統，此系統採用線上服務模式，採用 TCP Scoket 傳送文本到 Server 進行斷詞，再接收斷詞結果。 此專案是將上述斷詞流程採用 Java 實作，提供使用者方便地使用 CKIP 服務。本人並非中研院成員或是詞庫小組相關人士，本人只是將之前撰寫的 Client 端程式碼公開，並嘗試以不同的程式語言實做。所有中文斷詞相關技術及問題請洽中研院詞庫小組。 CKIPClient-Java 採用 Apache License Version 2.0 釋出