The Overburden of waste and uneconomic mineralized rock is required to be removed to mine the useful mineral resource in a surface mining operation. In this process a dump is formed by casting the waste material and dumping it in nearby area. The dump so formed is known as mine waste dump. Waste dump may be classified as internal and external dump. External dump is created outside the pit where...

This work describes the development of Enterprise Architect Unified Modeling Language (ea UML) – Microsoft SQL Server – Borland C ++ Builder information model for qualitative operation of open-cast mining and transport systems including description of process, technical and organizational factors influencing on the efficiency of mining and transport operations processes. For simulation (imitati...

Attribute-based access control (ABAC) provides a high level of flexibility that promotes security and information sharing. ABAC policy mining algorithms have potential to significantly reduce the cost of migration to ABAC, by partially automating the development of an ABAC policy from information about the existing access-control policy and attribute data. This paper presents an algorithm for m...

Decision support focuses on developing systems to help decision-makers solve problems. It provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Data mining deals with finding patterns in data that are by user-defini...

• Defense Medical Logistics Support System Data Warehouse Program • Department of Defense (DoD) Defense Financial and Accounting Service (DFAS) “Operation Mongoose” • DoD Computerized Executive Information System (CEIS) • Department of Homeland Security’s Analysis, Dissemination, Visualization, Insight, and Semantic Enhancement (ADVISE) Program • Department of Transportation (DOT) Executive Rep...

Apriori based Association Rule Mining (ARM) is one of the data mining techniques used to extract hidden knowledge from datasets that can be used by an organization’s decision makers to improve overall profit. Performing Existing association mining algorithms requires repeated passes over the entire database. Obviously, for large database, the role of input/output overhead in scanning the databa...

Information systems have been widely adopted to support service processes in various domains, e.g., in the telecommunication, finance, and health sectors. Recently, work on process mining showed how management of these processes, and engineering of supporting systems, can be guided by models extracted from the event logs that are recorded during process operation. In this work, we establish a q...

One of the important and well-researched problems in data mining is mining association rules from transactional databases, where each transaction consists of a set of items. The main operation in this discovery process is computing the occurrence frequency of the interesting set of items. i.e., Association Rule mining algorithms search for the set of all subsets of items that frequently occur i...