The success of Web services in business relies on the discovery of Web services satisfying the needs of the service requester. In this paper we discuss the use of data mining in the service discovery process. We recommend a set of applications that can leverage problems concerned with the planning, development and maintenance of Web services.

Spatial data mining or Knowledge discovery in spatial database is the extraction of implicit knowledge, spatial relations and spatial patterns that are not explicitly stored in databases. Co-location patterns discovery is the process of finding the subsets of features that are frequently located together in the same geographic area. In this paper, we discuss the different approaches like Rule b...

Existing theory has framed the process of information extraction and agglomeration, also referred to as the knowledge discovery (KD) process, as a series of strategic search decisions, subject to constraints, with the objective of attaining a sufficient level of domain-specific knowledge for use in strategic planning. Supported by the experiences of firms representative of Client, Developer, an...

Preservation Planning, which deals with selecting the most appropriate preservation action to be applied to digital objects, is an important step in any digital preservation activity. Comprehensive Preservation Planning depends on the availability of identified alternatives of preservation actions, which are for example file format migrations to migrate data in an outdated format to one that ha...

This article describes a new analytical approach for vendor evaluation. The work for this project is done by an European consortium, and partially funded by the European Commission. The aim of the project is to provide a close link between Enterprise Resource Planning Systems and latest Data Mining technology. Within this project, we have focused on vendor evaluation which is one of the importa...

Discussions approximately an environmental control method for deep seabed mining in the Area had been underway some years. Both states and scientists have known such method. In 2018, International Seabed Authority has followed its first 5-year strategic plan, masking all elements of mandate. This article examines brand-new plan integrates factors what is probably missing. It demonstrates that e...

This paper presents an informatics framework to apply feature-based engineering concept for cost estimation supported with data mining algorithms. The purpose of this research work is to provide a practical procedure for more accurate cost estimation by using the commonly available manufacturing process data associated with ERP systems. The proposed method combines linear regression and data-mi...

one of the most important issues related to knowledge discovery is the field of comment mining. opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results. this is a subset of data mining. opinion mining can be improved using the data mining algorithms. one of the important parts of opinion minin...

in despite of all progress in technology in mining industry, still labor is one of the key factors in mining operation. this paper presents a system dynamics approach to evaluate the mining labor productivity. therefore, after the identification of main effective variables, two quantitative and qualitative models were built. the qualitative model illustrates the complex interrelated structure o...

Dilution can best be defined as the proportion of waste tonnage to the total weight of ore and waste in each block. Predicting the internal dilution based on geological boundaries of waste and ore in each block can help engineers to develop more reliable long-term planning designs in mining activities. This paper presents a method to calculate the geological internal dilution in each block and ...