Soft Computing Techniques in Data Mining
نویسندگان
چکیده
This special issue encompasses eight papers devoted to the recent developments in the field of Data Mining. The issue originated from presentations of the special issue “Soft Computing Techniques in Data Mining” at “10th Internacional Conference on Intelligent Data Engineering and Automated Learning (IDEAL 09)” held in Burgos (Spain), September 23–26th, 2009, together with invited papers from well recognized researchers in the topic. Ten papers were submitted to the special issue, every paper was revised by at least three referees and finally seven of them were accepted according to the referees’ evaluations.
منابع مشابه
Utilization of Soft Computing for Evaluating the Performance of Stone Sawing Machines, Iranian Quarries
The escalating construction industry has led to a drastic increase in the dimension stone demand in the construction, mining and industry sectors. Assessment and investigation of mining projects and stone processing plants such as sawing machines is necessary to manage and respond to the sawing performance; hence, the soft computing techniques were considered as a challenging task due to stocha...
متن کاملApplication of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters
The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant adsorption from industrial wastewaters using the non-linear multivariate regression and intell...
متن کاملApplication of statistical techniques and artificial neural network to estimate force from sEMG signals
This paper presents an application of design of experiments techniques to determine the optimized parameters of artificial neural network (ANN), which are used to estimate force from Electromyogram (sEMG) signals. The accuracy of ANN model is highly dependent on the network parameters settings. There are plenty of algorithms that are used to obtain the optimal ANN setting. However, to the best ...
متن کاملSoft Computing Techniques and its Impact in Data Mining
With the rapid advancement in the field of Information Technology Software organizations are trying to use the strength of various emerging and powerful techniques such as Soft Computing techniques to develop/produce software products at minimum cost with maximum quality in terms of reliability, portability, accessibility, maintainability etc. In fact Soft Computing techniques and its impact as...
متن کاملApplication of Soft Computing Methods for the Estimation of Roadheader Performance from Schmidt Hammer Rebound Values
Estimation of roadheader performance is one of the main topics in determining the economics of underground excavation projects. The poor performance estimation of roadheader scan leads to costly contractual claims. In this paper, the application of soft computing methods for data analysis called adaptive neuro-fuzzy inference system- subtractive clustering method (ANFIS-SCM) and artificial neu...
متن کاملInvestigating electrochemical drilling (ECD) using statistical and soft computing techniques
In the present study, five modeling approaches of RA, MLP, MNN, GFF, and CANFIS were applied so as to estimate the radial overcut values in electrochemical drilling process. For these models, four input variables, namely electrolyte concentration, voltage, initial machining gap, and tool feed rate, were selected. The developed models were evaluated in terms of their prediction capability with m...
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ورودعنوان ژورنال:
- Multiple-Valued Logic and Soft Computing
دوره 17 شماره
صفحات -
تاریخ انتشار 2011