WebSPHINX ( Website-Specific Processors for HTML INformation eXtraction) is a Java class library and interactive development environment for web crawlers.
Maven Archetypes for Web Applications
This page contains maven archetypes to help you quickly and easily get started on a web project that uses the jetty plugin. Each archetype allows you to generate a template for your project based on the included sample web application. (This supposes that maven 2.x is already installed in your system)
For application development we use spring and hibernate. For rapid application development there are many pitfalls around. Our mission is to provide a framework that handles all default settings and allows us to quickly start with the development tasks our customers are interested in. So the framework tries to support you by:
* Providing a maven based development environment which uses a proven dependency configuration for fast composition of a working base setup.
* Several utilities were needed during application development extending functions from other utility libraries, e.g. Apache commons.
* Providing a module concept for easy setup and extension of a base application
* Providing reusable and extendable components for common tasks such as application setup, user management, security, history and reporting.
* Providing a base UI implementation based on JSF/MyFaces/MyFaces Trinidad
Where to start
For starting have a look at the quick start tutorial. Within this tutorial a small database application is developed using the most important features provided by the framework.
a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code.
Weka 3: Data Mining Software in Java
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, a
J. Moreira, S. Midkiff, und M. Gupta. Proceedings of the 2001 joint ACM-ISCOPE conference on Java Grande, Seite 116--125. New York, NY, USA, ACM, (2001)
C. Chambers, B. Harrison, und J. Vlissides. POPL '00: Proceedings of the 27th ACM SIGPLAN-SIGACT symposium on Principles of programming languages, Seite 277--289. New York, NY, USA, ACM, (2000)
J. Paterson, J. Haddow, und M. Nairn. Seite 280 - 4. New York, NY, USA, (2006//)design patterns;BlueJ IDE;software design;software development;object oriented software;teaching;Java;.
B. Folliot, I. Piumarta, und F. Riccardi. Proceedings of the 8th ACM SIGOPS European workshop on Support for composing distributed applications, Seite 175--181. New York, NY, USA, ACM, (1998)
S. Lauterburg, M. Dotta, D. Marinov, und G. Agha. 2009 IEEE/ACM International Conference on Automated Software Engineering, Seite 468--479. (November 2009)
N. Geoffray, G. Thomas, C. Clément, und B. Folliot. PPPJ '08: Proceedings of the 6th international symposium on Principles and practice of programming in Java, Seite 73--82. New York, NY, USA, ACM, (2008)
S. Andreev, G. Rzevski, P. Shviekin, P. Skobelev, und I. Yankov. Holonic and Multi-Agent Systems for Manufacturing, Volume 5696 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2009)
L. Smith, J. Bull, und J. Obdrzálek. Supercomputing '01: Proceedings of the 2001 ACM/IEEE conference on Supercomputing (CDROM), Seite 8--8. New York, NY, USA, ACM, (2001)
A. Bollini, und M. Piastra. Late Breaking Papers at the 1999 Genetic and
Evolutionary Computation Conference, Seite 48--56. Orlando, Florida, USA, (13 July 1999)
D. Johnson, und T. Jankun-Kelly. Proceedings of graphics interface 2008, Seite 163--168. Toronto, Ont., Canada, Canada, Canadian Information Processing Society, (2008)
K. Buchenrieder, M. Mrva, und R.Kress. Proceedings of the conference on Design, automation and test in Europe, Seite 868 - 874. Washington, DC, USA, IEEE Computer Society, (1998)
V. Saraswat, R. Jagadeesan, M. Michael, und C. von Praun. PPoPP '07: Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming, Seite 161--172. New York, NY, USA, ACM, (2007)
P. Lengauer, V. Bitto, und H. Mössenböck. Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, Seite 51--62. ACM, (2015)
H. Inoue, H. Hayashizaki, P. Wu, und T. Nakatani. Proceedings of the ACM International Conference on Object Oriented Programming Systems Languages and Applications, Seite 179--194. New York, NY, USA, ACM, (2012)
I. Hsiao, S. Sosnovsky, und P. Brusilovsky. Learning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009, Volume 5794 von Lecture Notes in Computer Science, Berlin/Heidelberg, Springer, (Oktober 2009)
E. Hilsdale, und J. Hugunin. Proceedings of the 3rd international conference on Aspect-oriented software development, Seite 26--35. New York, NY, USA, ACM, (2004)