( 3 ) puts the text clustering techniques into the practice of information filtering 將文本聚類技術(shù)應(yīng)用到信息過濾中。
Multiple server instances can be scaled using standard websphere clustering techniques 可以使用websphere群集技術(shù)衡量多個(gè)服務(wù)器實(shí)例。
We adopt cluster techniques , a group of commercial pcs worked as a server to serve the clients 該系統(tǒng)使用一組服務(wù)器統(tǒng)一為用戶服務(wù),系統(tǒng)具有良好的擴(kuò)展性。
The combination of document clustering technique and web search engine has become a hot - spot in document mining area 文本聚類技術(shù)和網(wǎng)絡(luò)搜索引擎服務(wù)相結(jié)合,已經(jīng)成為文本挖掘領(lǐng)域的一個(gè)熱點(diǎn)研究課題。
But there are seldom researches in using document clustering technique into chinese web documents and cooperating with chinese web search engine services 但是,把文本聚類技術(shù)應(yīng)用于中文web文檔,與中文搜索引擎服務(wù)相結(jié)合的研究仍然比較匱乏。
Clustering technique have been applied to a wide range of problems , including pattern cognition , data mining , decision - analyzing and prediction , etc . , yet it is imperfect both theoretically and methodologically , even severe fault 聚類分析雖已廣泛地應(yīng)用于模式識別、數(shù)據(jù)挖掘、計(jì)算機(jī)視覺、模糊控制、決策分析和預(yù)測等許多領(lǐng)域,但它在理論和方法上仍不完善,甚至還有嚴(yán)重的不足之處。
Chapter3 implementing of jobcenter cluster techniques in windows 2000 advanced server platform chapter 4 load balance on job managing system chapter5 resource management in job managing system chapter6 evaluation of the job managing system chapter7 an example Windows2000中集群容錯(cuò)系統(tǒng)的實(shí)現(xiàn)原理和應(yīng)用; 4負(fù)載分散在作業(yè)管理系統(tǒng)上的應(yīng)用研究; 5元計(jì)算的資源管理在作業(yè)管理系統(tǒng)上的應(yīng)用研究; 6
The paper aims at load balance cluster technique based on lvs and implement a software - haecs faced the application of enterprises . the research work mentioned in this paper is mainly about : ( 1 ) it studies the structure of netfilter and the technique of lvs 本論文重點(diǎn)研究了基于lvs的負(fù)載均衡集群技術(shù),并利用lvs實(shí)現(xiàn)了一種面向企業(yè)應(yīng)用的集群軟件haecs ,主要完成了以下工作: ( 1 )深入研究了netfilter結(jié)構(gòu)以及l(fā)vs技術(shù)。
However , existing algorithms is still sensitive to data order . high effective , self - adaptive , interactively dynamic , incremental clustering algorithm should be studied . clustering technique in data mining will yet be faced with many problems and challenges 目前的增量算法尚未完全解決對數(shù)據(jù)順序的敏感性,高效、自適應(yīng)性和交互性地動(dòng)態(tài)地增量式聚類算法有待進(jìn)一步研究,數(shù)據(jù)挖掘中的聚類技術(shù)仍面臨著許多問題和挑戰(zhàn)。
On the other hand , gigabytes net substantially promote the step of , to say , parallel computing . and cluster techniques connect geographically distributed pcs as a overall somewhat " supercomputer " to meet the ever - growing need of faster computing capability with lower price 在這樣一個(gè)復(fù)雜而龐大的系統(tǒng)中能夠讓地理上分布的廉價(jià)的pc機(jī)連接起來,進(jìn)行過去只有大型機(jī)才可以勝任的工作的集群技術(shù),迅速成為研究的一個(gè)亮點(diǎn)。