Fine Granular Scalable (FGS) video coding is a key technology in MPEG-4 streaming video profile. With the Internet developing rapidly, it comes into being and adapts magnificently to Internet's highly heterogeneit...
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High Performance Computing Service Platform for Shanghai Colleges (HPCSP) is built to meet the mass of computing requirements of teachers and students in these colleges and universities by Shanghai Municipal Education...
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Control parameter of electronically controlled engine is a critical factor which affects the engine performance. The engine control parameters has been done the bench calibration using the developed electronic control...
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This study proposed to use wavelet transfer to acquire image features, and use back-propagation neural network to classify type of textile texture. Firstly, wavelet transfer is applied to obtain vertical, horizontal a...
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Data mining concerns theories,methodologies,and in particular,computer systems for knowledge extraction or mining from large amounts of *** rule mining is a general purpose rule discovery *** has been widely used for ...
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ISBN:
(纸本)9781612848396
Data mining concerns theories,methodologies,and in particular,computer systems for knowledge extraction or mining from large amounts of *** rule mining is a general purpose rule discovery *** has been widely used for discovering rules in medical *** diagnosis of diseases is a significant and tedious task in *** detection of heart disease from various factors or symptoms is an issue which is not free from false presumptions often accompanied by unpredictable *** the effort to utilize knowledge and experience of numerous specialists and clinical screening data of patients collected in databases to facilitate the diagnosis process is considered a valuable *** this paper,we presented an efficient approach for the prediction of heart attack risk levels from the heart disease ***, the heart disease database is clustered using the K-means clustering algorithm,which will extract the data relevant to heart attack from the *** approach allows mastering the number of fragments through its k parameter. Subsequently the frequent patterns are mined from the extracted data,relevant to heart disease,using the MAFIA （Maximal Frequent Itemset Algorithm）*** machine learning algorithm is trained with the selected significant patterns for the effective prediction of heart attack. We have employed the ID3 algorithm as the training algorithm to show level of heart attack with the decision *** results showed that the designed prediction system is capable of predicting the heart attack effectively.
When there are several application running on Chip-Multiprocessors (CMPs), it is a problem to allocate the on-chip cache capacities between these competing applications. Cache partitioning is commonly used to solve th...
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This article proposes such a question classification approach that integrates multiple semantic features. It is aimed at these two questions in Chinese question classification models: inaccurate semantic information e...
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ISBN:
(纸本)9781612848372
This article proposes such a question classification approach that integrates multiple semantic features. It is aimed at these two questions in Chinese question classification models: inaccurate semantic information extraction and too slow processing speed caused by too high Eigenvector dimension. With the help of HowNet and the support vector machine and syntactic and semantic information of question sentences taken into consideration, this method picks up four classification features – the interrogative, the main sememe of key words, the named entity and the singular/plural form of nouns-to classify factual question sentences. Within the process of sememe extraction, the meaning disambiguation technology is added in. Algorithms to combine above characteristics and produce a better result are presented and justified. Experiment of this method has been done in the Chinese question classification set of the information retrieval laboratory of HarBin Institute of Technology, and results show that the method with multiple integrated semantic features is better than that with single feature.
In this paper the different views given by various researchers about OSS reliability have been analysed. Some maintain that OSS is reliable while the others do not agree with the same. The mean value functions of vari...
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The effective use of vast amounts of collected data in the wireless sensor network requires scalable and energy-efficient algorithms. A provided solution is the data-centric storage which itself suffers from the hot-s...
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This paper seeks to implement and test a financial forecasting agent which employs time series, derived time series data, and news that are retrieved and extracted from the Web. This research focuses on the time serie...
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