Abstract — Companies have been collecting data for decades, building massive data warehouses in which to store it. Even though this data is available, very few companies have been able to realize the actual value stored in it. The question these companies are asking is how to extract this value. The answer is Data mining. There are many technologies available to data mining practitioners, including Artificial Neural Networks, Regression, and Decision Trees. Many practitioners are wary of Neural Networks due to their black box nature, even though they have proven themselves in many situations. This paper is an overview of artificial neural networks and questions their position as a preferred tool by data mining practitioners
Machine learning is a branch of artificial intelligence in which the system is made to learn from da...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
This paper presents a way to introduce data science to college (business) students. To this end, dat...
Data mining a multidisciplinary field, is an analytic process designed to explore data (typically bu...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
The application of neural networks in the data mining has become wider. Data mining is the search fo...
Although neural networks may have complex structure, long training time, and uneasily understandable...
Data remain a very important ingredient required by any organization to make informed decision as it...
Artificial neural networks (ANN) have demonstrated good predictive performance in a wide variety of ...
Abstract: “Data Rich and Information Poor ” is the tagline on which the field Data Mining is based o...
A brief introduction to the basic of neural network is presented to give the reader the necessary un...
A major drawback associated with the use of artificial neural networks for data mining is their lack...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Machine learning is a branch of artificial intelligence in which the system is made to learn from da...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
This paper presents a way to introduce data science to college (business) students. To this end, dat...
Data mining a multidisciplinary field, is an analytic process designed to explore data (typically bu...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
The application of neural networks in the data mining has become wider. Data mining is the search fo...
Although neural networks may have complex structure, long training time, and uneasily understandable...
Data remain a very important ingredient required by any organization to make informed decision as it...
Artificial neural networks (ANN) have demonstrated good predictive performance in a wide variety of ...
Abstract: “Data Rich and Information Poor ” is the tagline on which the field Data Mining is based o...
A brief introduction to the basic of neural network is presented to give the reader the necessary un...
A major drawback associated with the use of artificial neural networks for data mining is their lack...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Machine learning is a branch of artificial intelligence in which the system is made to learn from da...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
This paper presents a way to introduce data science to college (business) students. To this end, dat...