Experimental Studies Scaling Web Services For Data Mining Using Open DMIX: Preliminary Results
نویسندگان
چکیده
We have developed Open DMIX, which is an open source collection of web services for accessing, exploring, integrating, and mining remote and distributed data. Open DMIX clients interact with Open DMIX servers using a version of web services designed for high performance applications, which we call SOAP+. In this paper we describe experimental studies comparing SOAP and SOAP+ based data mining applications on high performance, wide area networks. For these applications, Open DMIX using SOAP+ can be significantly faster than traditional SOAPbased applications.
منابع مشابه
Open DMIX: High Performance Web Services for Distributed Data Mining
In this note, we introduce Open DMIX, an open source collection of web services for the mining, integration, and exploration of remote and distributed data. We also describe some preliminary experimental results using Open DMIX. Open DMIX is layered: the top layer provides templated data mining and statistical algorithms, such as those defined by the Predictive Model Markup Language [8]. The mi...
متن کاملHigh Fuzzy Utility Based Frequent Patterns Mining Approach for Mobile Web Services Sequences
Nowadays high fuzzy utility based pattern mining is an emerging topic in data mining. It refers to discover all patterns having a high utility meeting a user-specified minimum high utility threshold. It comprises extracting patterns which are highly accessed in mobile web service sequences. Different from the traditional fuzzy approach, high fuzzy utility mining considers not only counts of mob...
متن کاملQoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering
Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users be in trouble in finding their appropriate web services. Therefore, it is required to provi...
متن کاملThe Weka4WS framework for distributed data mining in service-oriented Grids
The service oriented architecture (SOA) paradigm can be exploited for the implementation of data and knowledge-based applications in distributed environments. The Web Services Resource Framework (WSRF) has recently emerged as the standard for the implementation of Grid services and applications. WSRF can be exploited for developing high-level services for distributed data mining applications. T...
متن کاملExploiting need of Service-Oriented Framework for Executing Data Mining Services
Weka4WS adopts the emerging Web Services Resource Framework (WSRF) for accessing remote data mining algorithms and managing distributed computations. The Weka4WS user interface is a modified Weka Explorer environment that supports the execution of both local and remote data mining tasks. Workflow environments are widely used in data mining systems to manage data and execution flows associated t...
متن کامل