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Computer Science Data Mining Artificial Intelligence Artificial Neural Network Algorithms

What is the relation between artificial intelligence and pattern recognition?

What is the relation between artificial intelligence and pattern recognition?

... Data mining and Agent technology, with the development of science and technology, communication, computer and network technology is changing the human and society, information society ...

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Integrating Artificial Intelligence into Data Warehousing and Data Mining

Integrating Artificial Intelligence into Data Warehousing and Data Mining

... of artificial intelligence into data warehousing or rather the methodologies that embody AI ...(ES), Artificial Neural Networks (ANNs), Genetic Algorithms, Fuzzy Systems and ...

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Intelligent Computational Techniques for Crops Yield Prediction and Fertilizer Management over Big Data Environment

Intelligent Computational Techniques for Crops Yield Prediction and Fertilizer Management over Big Data Environment

... Title: Data Mining Technology with Fuzzy Logic, Neural Networks and Machine Learning for Agriculture Paper Concept: This paper resolves the problem arisen by farmer‟s decision making for agriculture ...

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Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques

Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques

... of artificial intelligence techniques such as ANN [20–25], Support Vector Machines (SVM), Fuzzy Logic, M5 model tree, GRNN, ANFIS [25–33] for various problems in the field of civil ...of data ...

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Artificial Neural network for Data mining –A study

Artificial Neural network for Data mining –A study

... Data mining is defined as the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, ...

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A Review on Intrusion Detection System based on Artificial Immune System

A Review on Intrusion Detection System based on Artificial Immune System

... The Neural Network can be used both for anomaly detection for detecting novel attacks and misuse detection for detecting known attacks and even variation from these ...An artificial neural ...

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Quad-phased data mining modeling for dementia diagnosis

Quad-phased data mining modeling for dementia diagnosis

... Recently, Computer-Aided Diagnosis (CAD) is intro- duced in order to alleviate such skepticism for diagnosis of various ...clinical data to machine learning algorism to help physicians to examine patients ...

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Survey on Credit Card Fraud Detection Methods

Survey on Credit Card Fraud Detection Methods

... and Neural network approach is automatic credit card fraud detection system and type of artificial intelligence programming which is based on variety of methods including machine learning ...

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Vol 5, No 1 (2013)

Vol 5, No 1 (2013)

... Data mining in computer science is the process of discovering interesting and useful patterns and relationships in large volumes of ...for mining problems is based on artificial ...

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Application of Artificial Intelligence for Epilepsy Disease

Application of Artificial Intelligence for Epilepsy Disease

... recurrent Neural Network (RNN) ...belief network [11] and restricted Boltzmann machine [10], in short it is written DBN and ...two-surface neural net accompanied by one perceptible and one ...

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Title: Two Stage Classification Model for Crop Disease Prediction

Title: Two Stage Classification Model for Crop Disease Prediction

... Data mining is a computation AI process which involves methods like database and data warehouse, neural network, artificial intelligence and machine ...learning[12]. ...

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Integration of clinical decision support systems in Dutch radiology departments

Integration of clinical decision support systems in Dutch radiology departments

... This research provides valuable information on how to integrate CDSS without disrupting the workflow of the clinician. However, this is not the only aspect that needs to be discussed before it can be implemented. There ...

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Co-simulation framework for on-chip LiDAR sensors in a cyber-physical system

Co-simulation framework for on-chip LiDAR sensors in a cyber-physical system

... the data processing algorithm is to extract the points that correspond to nearby obstacles corresponding to specific point cloud ...LiDAR data is stored as a 3-D point cloud. In order to process the sensory ...

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Prolonging the Network Life Time in WSN through Computational Intelligence

Prolonging the Network Life Time in WSN through Computational Intelligence

... clustering algorithms is their high communication overhead for forming the clusters, and selection of cluster ...the network announce via request to network-wide ...of network are able to ...

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A Review on: Artificial intelligence techniques in electrical and  computer engineering

A Review on: Artificial intelligence techniques in electrical and computer engineering

... with artificial intelligence are critical subsystems whose growth needs multidisciplinary move toward along with synchronized engineering to create a better, safer and reliable future? We have studied and ...

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Data Mining Techniques to Find Out Heart Diseases: An Overview

Data Mining Techniques to Find Out Heart Diseases: An Overview

... medical data leads to the need for powerful data analysis tools to extract useful ...huge data available within the healthcare ...in data. Knowledge discovery and data mining ...

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Performance Analysis of Data Mining Classification Techniques

Performance Analysis of Data Mining Classification Techniques

... We have compared the performance of various classifiers for iris data set in experiment. The goal of this study is to evaluate and investigate classification algorithms based on WEKA. The best algorithm in ...

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Classification and Prediction on Rural Property Mortgage Data with Three Data Mining Methods

Classification and Prediction on Rural Property Mortgage Data with Three Data Mining Methods

... different data mining methods were applied in this paper to the specifical- ly-collected household ...The artificial neural network model had the highest accuracy of ...

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Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence

Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence

... the network will learn to ignore any inputs that don’t contribute to the output [5, ...is Neural Network ...the Neural Network part. On the other hand in the Neural ...

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Scope of artificial intelligence in the field of research in the department of computer science

Scope of artificial intelligence in the field of research in the department of computer science

... for computer technology. In the evolution of computer games, they have grown from modest text based to the three dimensional graphical games with complex and large ...game artificial ...

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