In this paper we present a novel approach to the problem of understanding, monitoring, and controlling the machining process of composites materials. the approach is called Logical Analysis of data (LAD). It is based ...
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the task of nonlinear dimensionality reduction is to find meaningful low-dimensional structures hidden in high dimensional data. In this paper, an unsupervised algorithm for nonlinear dimensionality reduction called l...
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ISBN:
(纸本)9780819490261
the task of nonlinear dimensionality reduction is to find meaningful low-dimensional structures hidden in high dimensional data. In this paper, an unsupervised algorithm for nonlinear dimensionality reduction called locally linear embedding based on local correlation (LC-LLE) is presented. the LC-LLE algorithm is motivated by locally linear embedding (LLE) algorithm and correlation coefficient which usually gives the correlation between two random vectors. It is a major advantage of the LC-LLE to optimize the process of dimensionality reduction by giving more reasonable neighbor searching. Simulation studies demonstrate that the LC-LLE can give better results in dimension reduction than LLE. Experiments on face images data sets have shown the potential of LC-LLE in practical problem.
Existing data storage format can not meet the needs of information analysis, data warehouse onto the historical stage, the data warehouse is to support business decision making and the creation of specially designed d...
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ISBN:
(纸本)9780819490254
Existing data storage format can not meet the needs of information analysis, data warehouse onto the historical stage, the data warehouse is to support business decision making and the creation of specially designed data collection. Withthe data warehouse, the companies will all collected information is stored in the data warehouse. the data warehouse is organized according to some, making information easy to access and has value. this paper focuses on the establishment of data warehouse and analysis, design, data warehouse, two barrier models, and compares them.
this paper first defines the elementary granulation and the granulation, and other concepts, then we could convert decision tables to granular graph, and make visual presentation of them. some relevant knowledge of gr...
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ISBN:
(纸本)9780819490261
this paper first defines the elementary granulation and the granulation, and other concepts, then we could convert decision tables to granular graph, and make visual presentation of them. some relevant knowledge of graph theory is applied to granular graph and its computing. In the paper it is shown that it is feasible and effective that granular graph is applied in describing data reduction. the method has the characteristic of simple and visual form and so on. Compared with other analysis methods, its time complexity is decreased to O(n).
Based on the theory of adaptive modulation, the compressed format is introduced in voice and data transmission, and a novel adaptive dynamic capability allocation algorithm is presented. In the given transmission syst...
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ISBN:
(纸本)9780819490261
Based on the theory of adaptive modulation, the compressed format is introduced in voice and data transmission, and a novel adaptive dynamic capability allocation algorithm is presented. In the given transmission system model, according to the channel state information (CSI) provided by channel estimating, the transmitter can adaptively select the modulation model, and shrink the voice symbol duration to improve the datathroughput of data transmission. Simulation results shows that the novel algorithm can effectively evaluate the percentage occupation of data bit in one fame, and improve the datathroughput.
As for inconsistent decision tables, this paper puts forward a reverse-order of data reduction algorithm. Compared withthe traditional methods, firstly, this algorithm makes attribute value reduction, and then makes ...
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ISBN:
(纸本)9780819490261
As for inconsistent decision tables, this paper puts forward a reverse-order of data reduction algorithm. Compared withthe traditional methods, firstly, this algorithm makes attribute value reduction, and then makes attribute reduction, which could avoid the negative factor of inconsistent individuals set. the result of attribute value reduction could be used in the proceed of attribute reduction. the time complexity of the novel algorithm is O(vertical bar C vertical bar(2)vertical bar U vertical bar(2))
this book constitutes the refereed proceedings of the 7th IFIP TC 12 internationalconference on Intelligent Information Processing, IIP 2012, held in Guilin, China, in October 2012. the 39 revised papers presented to...
ISBN:
(数字)9783642328916
ISBN:
(纸本)9783642328909
this book constitutes the refereed proceedings of the 7th IFIP TC 12 internationalconference on Intelligent Information Processing, IIP 2012, held in Guilin, China, in October 2012. the 39 revised papers presented together with 5 short papers were carefully reviewed and selected from more than 70 submissions. they are organized in topical sections on machinelearning, datamining, automatic reasoning, semantic web, information retrieval, knowledge representation, social networks, trust software, internet of things, image processing, and patternrecognition.
the rapid development of parallel computer systems, making parallel operating environment gradually mature and widely used in scientific computing and research in many fields, thus parallel database of research become...
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ISBN:
(纸本)9780819490261
the rapid development of parallel computer systems, making parallel operating environment gradually mature and widely used in scientific computing and research in many fields, thus parallel database of research becomes more and more attention and research has become an important database field of study. this network-based parallel cluster of characteristics and the current parallel computer system new trends, analyzes the network parallel clusters of workstations, parallel database data skew problem in data distribution characteristics of the environment is proposed withthe ability to adapt to the dynamic data balanced distribution programs.
the report is devoted to improvement of algorithms for separating functions by Bezier curve, which are based on the algorithm design with optimal classifying objects. the developed algorithm performs classification in...
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ISBN:
(纸本)9781467345026;9781467345002
the report is devoted to improvement of algorithms for separating functions by Bezier curve, which are based on the algorithm design with optimal classifying objects. the developed algorithm performs classification in the systems with complex order.
In this paper, an effective method for computing term association from a text corpus is presented. Two machinelearning algorithms are employed to evaluate the effectiveness of the proposed method for text mining. the...
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