Although neural networks may have complex structure, long training time, and uneasily understandable representation of results, neural networks have high acceptance ability for noisy data and high accuracy and are preferable in data mining. In this paper the data mining based on neural networks is researched in detail, and the key technology and ways to achieve the data mining based on neural networks are also researched
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a...
Machine Learning is associated with the study and construction of systems that can learn on their ow...
The application of neural networks in the data mining has become wider. Data mining is the search fo...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Abstract: “Data Rich and Information Poor ” is the tagline on which the field Data Mining is based o...
Abstract — Companies have been collecting data for decades, building massive data warehouses in whic...
A brief introduction to the basic of neural network is presented to give the reader the necessary un...
Data mining a multidisciplinary field, is an analytic process designed to explore data (typically bu...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
In this paper, the concept of data mining was summarized and its significance towards its methodolog...
There are many tools for data mining. Neural network is important in data mining due to its intuitio...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
The goal of data mining is to solve various problems dealing with knowledge extraction from huge amo...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a...
Machine Learning is associated with the study and construction of systems that can learn on their ow...
The application of neural networks in the data mining has become wider. Data mining is the search fo...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Abstract: “Data Rich and Information Poor ” is the tagline on which the field Data Mining is based o...
Abstract — Companies have been collecting data for decades, building massive data warehouses in whic...
A brief introduction to the basic of neural network is presented to give the reader the necessary un...
Data mining a multidisciplinary field, is an analytic process designed to explore data (typically bu...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
In this paper, the concept of data mining was summarized and its significance towards its methodolog...
There are many tools for data mining. Neural network is important in data mining due to its intuitio...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
The goal of data mining is to solve various problems dealing with knowledge extraction from huge amo...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a...
Machine Learning is associated with the study and construction of systems that can learn on their ow...