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31.
为了提高综采工作面端头超前应力区顶板稳定性,降低顶板支护费用,对8309工作面端头应力区提出了耦合让均压支护技术,控制了端头应力区顶板下沉、破碎现象,可降低支护成本费用320元/m。 相似文献
32.
如何在海量不确定数据集中提高频繁模式挖掘性能是目前研究的热点.传统算法大多是以期望、概率或者权重等单一指标为数据项集支持度,在大数据背景下,同时考虑概率和权重支持度的算法难以兼顾其执行效率.为此,本文提出一种基于Spark的不确定数据集频繁模式挖掘算法(UWEFP),首先,为了同时兼顾数据项的概率和权重,计算一项集的最大概率权重值并进行剪枝;然后,为了减少对数据集的多次扫描,结合Spark框架的优点,设计了一种具有FP-tree特征的新颖的UWEFP-tree结构进行模式树的构建及挖掘;最后在Spark环境下,以UCI数据集进行实验验证.实验结果表明本文的方法在保证挖掘结果的同时,提高了效率. 相似文献
33.
探讨分类挖掘技术在高校实际工作中的应用方式与应用领域。以高校人事管理为模型,应用数据挖掘中决策树算法,对高校人力资源数据源中的信息进行分析,发现其中有价值的数据模式,寻找其中存在的关系和规则,对高校人才规划提供比较客观的决策支持。 相似文献
34.
35.
Xu Baowen Zhang Weifeng 《电子科学学刊(英文版)》2002,19(4)
The users' interest can be mined from the web cache and can be used widely. The interest can be specialized by the two-tuple (term, weight) in the simple interest model, in which the association relations are not mined, and then the interest cannot be associated in expressing the users' interest. Based on analyzing the WWW cache model, this letter brings forward a two-dimensional interest model and gives the interrelated methods on how to store the two-dimensional interest model effectively. 相似文献
36.
XuBaowen ZhangWeifeng 《电子科学学刊(英文版)》2002,19(4):399-402
The users‘ interest can be mined from the web cache and can be used widely.The interest can be specialized by the two-tuple(term,weight) in the simple interest model,in which the association relations are not mined.and then interest cannot be associated in expressing the users‘interest.Based on analyzing the WWW cache model,this letter brings forward a twodimensional interest model and gives the interrelated methods on how to store the two-dimensional interest model effectively. 相似文献
37.
矿业可持续发展理论及应用 总被引:11,自引:0,他引:11
在简要回顾我国矿业发展现状及其在环境破坏污染和资源浪费损失的基础上,提出矿业可持纽发展的概念与内涵,论述矿业可持续发展的动态2特征,并就如何实施矿业可持结发展战略进行了思考。 相似文献
38.
Dantong Yu Gholamhosein Sheikholeslami Aidong Zhang 《Knowledge and Information Systems》2002,4(4):387-412
Finding the rare instances or the outliers is important in many KDD (knowledge discovery and data-mining) applications, such
as detecting credit card fraud or finding irregularities in gene expressions. Signal-processing techniques have been introduced
to transform images for enhancement, filtering, restoration, analysis, and reconstruction. In this paper, we present a new
method in which we apply signal-processing techniques to solve important problems in data mining. In particular, we introduce
a novel deviation (or outlier) detection approach, termed FindOut, based on wavelet transform. The main idea in FindOut is to remove the clusters from the original data and then identify
the outliers. Although previous research showed that such techniques may not be effective because of the nature of the clustering,
FindOut can successfully identify outliers from large datasets. Experimental results on very large datasets are presented
which show the efficiency and effectiveness of the proposed approach.
Received 7 September 2000 / Revised 2 February 2001 / Accepted in revised form 31 May 2001
Correspondence and offprint requests to: A. Zhang, Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Email: azhang@cse.buffalo.eduau 相似文献
39.
We compare two link analysis ranking methods of web pages in a site. The first, called Site Rank, is an adaptation of PageRank to the granularity of a web site and the second, called Popularity Rank, is based on the frequencies of user clicks on the outlinks in a page that are captured by navigation sessions of users through
the web site. We ran experiments on artificially created web sites of different sizes and on two real data sets, employing
the relative entropy to compare the distributions of the two ranking methods. For the real data sets we also employ a nonparametric
measure, called Spearman's footrule, which we use to compare the top-ten web pages ranked by the two methods. Our main result
is that the distributions of the Popularity Rank and Site Rank are surprisingly close to each other, implying that the topology
of a web site is very instrumental in guiding users through the site. Thus, in practice, the Site Rank provides a reasonable
first order approximation of the aggregate behaviour of users within a web site given by the Popularity Rank. 相似文献
40.