This document reviews the main applications of statistics and operations research techniques to the quantitative aspects of Knowledge Discovery and Data Mining, fulfilling a pressing need. Data Mining, one of the most important phases of the Knowledge Discovery in Databases activity, is becoming ubiquitous with the current information explosion. As a result, there is an increasing need for trai...

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...

this article of focused on data mining, which is very complex to recognize the correct, new models which are potentially useful in data, hence they will be useful, and acceptable for all humans. data mining is also called the exploration of knowledge, is the process of data analysis in the different aspect to summarize them into the suitable information, which is able to increase profits and to...

Process discovery is probably the most challenging process mining task. Given an event log, i.e., a set of example traces, it is difficult to automatically construct a process model explaining the behavior seen in the log. Many process discovery techniques use Petri nets as a language to describe the discovered model. This implies that the search space—often referred to as the representational ...

Data streams are sequence of data examples that continuously arrive at time-varying and possibly unbound streams. These data streams are potentially huge in size and thus it is impossible to process many data mining techniques (e.g., sensor readings, call records, web page visits). Tachiniques for classification fail to successfully process data streams because of two factors: their overwhelmin...

This paper deals with two relevant and interrelated directions of coal mining development. Firstly, the resource-saving complete extraction reserves, secondly, intensification activity through operations conducted on several seams. The objective overworking mine workings a real representation mining-and-geological mining-engineering conditions has been formulated. Five peculiarities geomechanic...

the first step in mining activities is rock excavation in both mine development and production. constant pressure for cost reduction and creating an improved/safe work environment for personnel has naturally resulted in increased use of mechanical excavation systems in many mining operations. also, mechanical excavation and mining is more compatible with automation, meaning possibility of reduc...

Data mining can be used effectively to detect health care fraud and abuse. First, data mining has been successful at applying visualization to very large data sets and recognizing new and unusual patterns of activity. Second, data mining has allowed us to better direct and utilize limited health care fraud detection and investigative resources by recognizing and quantifying the underlying indic...

Authoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need specific methods and tools for supporting their work. In that sense, data mining is a promising technology. In fact, data mining techniques have already been used in E-learning systems, but most of the times their applic...

Process mining has been gaining significant attention in academia and practice. A promising first step to apply process mining in the audit domain was taken with the mining of process instances from accounting data. However, the resulting process instances constitute graphs. Commonly, timestamp oriented event log formats require a sequential list of activities and do not support graph structure...