subject analysis of the potential of spontaneous combustion in coal layers with analytical and numerical methods has been always considered as a difficult task because of the complexity of the coal behavior and the number of factors influencing it. empirical methods, due to accounting for certain and specific factors, have not accuracy and efficiency for all positions. the rock engineering syst...

Student, Dept. Of Computer Engineering, Grow More Faculty of Engineering Himatnagar, Gujarat, India Asst. Professor, Dept. of Computer Engineering, Grow More Faculty of Engineering Himatnagar, Gujarat, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract-In recent years, the data mining techniq...

Studying materials informatics from a data mining perspective can be beneficial for manufacturing and other industrial engineering applications. Predictive data mining technique and machine learning algorithm are combined to design a knowledge discovery system for the selection of engineering materials that meet the design specifications. Predictive method-Naive Bayesian classifier and Machine ...

As education technology matures, researches debate whether data mining (EDM) or knowledge engineering (KE) paradigms are best for modeling complex learning constructs. A hybrid paradigm may capture strengths from both approaches. In particular, recent work has argued that successful data mining depends on thoughtful feature engineering. In this paper, we explore the use of cognitive modeling (a...

As education technology matures, researches debate whether data mining (EDM) or knowledge engineering (KE) paradigms are best for modeling complex learning constructs. A hybrid paradigm may capture strengths from both approaches. In particular, recent work has argued that successful data mining depends on thoughtful feature engineering. In this paper, we explore the use of cognitive modeling (a...

1Student,PES’s Modern College Of Engineering,Pune 5. 2HOD,Computer Engineering Dept, PES’s Modern College Of Engineering, Pune 5. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In recent years, growth in digital data storage in rapidly increased due to ease of use and lower coast digital storag...

A data mining based procedure for automated reverse engineering and defect discovery has been developed. The data mining algorithm for reverse engineering uses a genetic program (GP) as a data mining function. A genetic program is an algorithm based on the theory of evolution that automatically evolves populations of computer programs or mathematical expressions, eventually selecting one that i...

The 2003 flood of the Muda River reached 1,340 m3 /s at Ladang Victoria and adversely impacted 45,000 people in Malaysia. A flood control remediation plan proposed a levee height based on a 50-year discharge of 1 ,815 m3 /s obtained from hydrologic models. This design discharge falls outside the 95% confidence intervals of the flood frequency analysis based on field measurements. Instream sand ...

Data mining methods have in recent years enabled the development of more sophisticated student models which represent and detect a broader range of student behaviors than was previously possible. This chapter summarizes key data mining methods that have supported student modeling efforts, discussing also the specific constructs that have been modeled with the use of educational data mining. We ...

Rock burst is the most attractive and hot research area in geomechanics, mining, and civil engineering due to the increasing depth of mines and construction of deep underground structures. It has also been a severe problem in ground control measures in the last few decades. Many studies have been done by different researchers in order to minimize the hazards of rock burst and to provide a safe ...