Data Mining, knowledge discovery With Neural Network Support Architecture: A study

نویسندگان

  • Aman Kumar
  • Tarandeep Singh
چکیده

Organizations gathering massive data warehouses in which data is stored as historical facts. But very few companies have been capable to recognize the concrete value stored in it. The main requirements of these companies are asking is how to extract the meaningful information. The only response in positive direction is Data mining. Several technologies available to data mining practitioners, including Artificial Neural Networks(ANN), Regression Analysis, and Decision Trees. Many practitioners are guarded of Neural Networks due to their black box nature, even though they have proven themselves in many situations. The application of neural networks in the data mining has turn out to be wider. Even though neural networks may have multifaceted structure, long training time, and uneasily reasonable demonstration of results, neural networks have high acceptance ability for noisy data and high accuracy and are preferable in data

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A comparison between knowledge-driven fuzzy and data-driven artificial neural network approaches for prospecting porphyry Cu mineralization; a case study of Shahr-e-Babak area, Kerman Province, SE Iran

The study area, located in the southern section of the Central Iranian volcano–sedimentary complex, contains a large number of mineral deposits and occurrences which is currently facing a shortage of resources. Therefore, the prospecting potential areas in the deeper and peripheral spaces has become a high priority in this region. Different direct and indirect methods try to predict promising a...

متن کامل

A knowledge discovery pipeline for medical decision support using clustering ensemble and neural network ensemble

It is widely recognized that knowledge discovery and data mining in the health domain are two techniques than scientists and researchers are always looking into areas for improvements and accurateness in prediction. In this paper, we present a multi-tier knowledge acquisition, amalgamation and learning info-structure for the learning of rules that have been generated from medical datasets compr...

متن کامل

Prediction of ultimate strength of shale using artificial neural network

A rock failure criterion is very important for prediction of the ultimate strength in rock mechanics and geotechnics; it is determined for rock mechanics studies in mining, civil, and oil wellborn drilling operations. Also shales are among the most difficult to treat formations. Therefore, in this research work, using the artificial neural network (ANN), a model was built to predict the ultimat...

متن کامل

Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)

Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...

متن کامل

A data mining approach to employee turnover prediction (case study: Arak automotive parts manufacturing)

Training and adaption of employees are time and money consuming. Employees’ turnover can be predicted by their organizational and personal historical data in order to reduce probable loss of organizations. Prediction methods are highly related to human resource management to obtain patterns by historical data. This article implements knowledge discovery steps on real data of a manufacturing pla...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012