17495157
Summarization for Internet News Based on Clustering Algorithm
For the explosion of information in the World Wide Web, this paper proposed a new method of summarization for Internet news based on clustering algorithm. It used google search engine to extract relevant documents, and mixed query sentence into sentences set which segmented from relevant document set, then this paper adopted effective cluster algorithm to cluster all the sentences. In the period of summary generation, the summary sentences were extracted by turns from the clusters which query sentence in. Experimental result shows that the proposed summarization method can improve the performance of summary, clustering algorithm is effective.
16456710
News Summarization Based on Semantic Similarity Measure
This paper proposed a new method of news summarization based on semantic similarity measure. It used Latent semantic indexing (LSI) to measure sentence similarity, then it used Singular Value Decomposition (SVD) to reduce the dimension of the word-sentence matrix, it used new clustering algorithm to cluster all the sentences. It ordered all the sentences according to their relevant positions in the original document. Experimental result shows that the proposed method can improve the performance of summary.
16741593
A Log Analysis Audit Model Based on Optimized Clustering Algorithm
In view of the problem how to detect the network unknown attacks, a security log analysis audit model based on optimized clustering algorithm is proposed in this paper. Since the main question which influence the clustering algorithm application in the log analysis is uneasy to determine the network attack type and the cluster number, so we bring forward an optimized cluster algorithm to solve this problem. By means of simulated experiments, this algorithm is proved feasible, efficient and extensible for unknown intrusion detection.
14381667
Transformation of landscape planning and design in computer supported cooperative work era
From the point of design methodology, change quickly development computer technology of computer supported cooperative work (CSCW) has influence on the actions of landscape planning and design, such as renovation of design tradition conception, new ways for shape originality, and testing method for landscape planning and design. It has practicality value of determining computer technology values in landscape architecture design and thinking.
206585854
N-Person Noncooperative Game with Infinite Strategic Space
It is wel-known that Nash considered the n-person noncooperative game with each player having finite strategic set and proved the celebrated existence result of Nash equilibrium point (in mixed strategies). This paper investigates the n-person noncooperative game with each player having infinite strategic set. By considering these infinite strategic as complete metric spaces and based on a new finite equilibrium system, we obtain new existence result of Nash equilibrium. Then an algorithm is given to compute Nash equilibrium points and its convergence is proved.
25796104
Classification of Cancer Types Based on Decision Tree Analysis of Gene Function Expression Profiles
725973
Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
BackgroundThe wide use of Affymetrix microarray in broadened fields of biological research has made the probeset annotation an important issue. Standard Affymetrix probeset annotation is at gene level, i.e. a probeset is precisely linked to a gene, and probeset intensity is interpreted as gene expression. The increased knowledge that one gene may have multiple transcript variants clearly brings up the necessity of updating this gene-level annotation to a refined transcript-level.ResultsThrough performing rigorous alignments of the Affymetrix probe sequences against a comprehensive pool of currently available transcript sequences, and further linking the probesets to the International Protein Index, we generated transcript-level or protein-level annotation tables for two popular Affymetrix expression arrays, Mouse Genome 430A 2.0 Array and Human Genome U133A Array. Application of our new annotations in re-examining existing expression data sets shows increased expression consistency among synonymous probesets and strengthened expression correlation between interacting proteins.ConclusionBy refining the standard Affymetrix annotation of microarray probesets from the gene level to the transcript level and protein level, one can achieve a more reliable interpretation of their experimental data, which may lead to discovery of more profound regulatory mechanism.