A Parallel Platform for Web Text Mining

With user-generated content, anyone can De a content creator. This phenomenon has infinitely increased the amount of information circulated online, and it is beeoming harder to efficiently obtain required information. In this paper, we describe how natural language processing and text mining can be parallelized using Hadoop and Message Passing Interface. We propose a parallel web text mining platform that processes massive amounts data quickly and efficiently. Our web knowledge service platform is designed to collect information about the IT and telecommunications industries from the web and process this in-formation using natural language processing and data-mining techniques.     

TextInsight: A new text visualization system based on entropy and GMap

In recent years, text visualization has been widely acknowledged as an effective approach for understanding the structure and patterns hidden in complicated textual information. In this paper, we propose a new visualization system called TextInsight with two of our contributions. Firstly, a textual entropy theory is introduced to encode the semantic importance distribution in the corpus. Based on the proposed multidimensional joint probability histogram in vector fields, the improved algorithm provides a novel way to position valuable information in massive short texts accurately. Secondly, a map-like metaphor is generated to visualize the textual topics and their relationships. For the problem of over-segmentation in the layout and clustering procedure, we propose an optimization algorithm combining Affinity Propagation （AP） and MultiDimensional Scaling （MDS）, and the im- proved geographical representation is more comprehensible and aesthetically appealing. Our experi- mental results and initial user feedback suggest that this system is effective in aiding text analysis.     

基于GPGPU的离散数据挖掘研究

为了提高数据挖掘的效率,提出了一种基于GPU加速的离散数据挖掘方法,并且详细论述了实现的过程以及关键技术。通过实验表明,相对于传统方法该方法具有较高的计算效率和准确性,是实现数据挖掘的实用方法。     

互联网视域下基于人格的品牌原型类别化研究(英文)

Due to the rapid development,Internet has become the main field for brand building.Under this circumstance,the image of the brand is always consistent with the consumers' perception.Therefore,this study uses the method of text mining of search engine to explore the categories of brand archetype based on Brand Personality Theory from the perspective of Internet.The results find that 12 brand archetypes,including caregiver,sage,hero,innocent,dominator,creator,vitality,explorer,stylish woman,lover,cooperator,and vogue gentleman,have a high degree explanation.Deeper study uses case study to verify the reasonability and effectiveness of the classification standard.     

采矿科学研究和技术决策逻辑思维的探讨

中国煤矿开采是一个复杂的巨型动态系统，开采对象是类型多样、条件各异、采前未能确知的天然资源，开采工作受多种随机因素影响，深刻认识煤矿开采系统特征、采用合适的逻辑思维方法，是正确进行采矿科学研究和技术决策的前提．总结了采矿系统的１０个特征，提出了采矿经验与技术总结、类比与分析的逻辑思维原则，指明了当前存在的问题及改进方向．     

分采留矿全面法在安底金矿的试验研究

在安底金矿倾斜薄矿脉内试验成功一种新的采矿方法──分采留矿全面法。先用抛掷爆破的方法把矿石崩到留矿空间，用废运输胶带在留矿堆上建立起临时隔离层．再用松动爆破技术崩下废石，把废石运出采场丢弃，实现矿岩的分采，取得了良好的经济效益。     

全站仪在矿区三维监测中的应用研究

针对矿区变形监测的特点，应用计算机模拟分析和试验研究相结合的手段，分析研究了用全站仪进行矿区三维变形监测的特点，使用范围和测量精度。三维变形精度比二维的精度高，而且较均匀。     

发挥“日产7000t综采成套设备”效能实现高产高效

总结了铁法矿务局晓南矿综采一阶依靠科学管理，发挥日产７０００ｔ综采成套设备效能，实现高产高效的生产技术管理经验。     

基于Web挖掘的电子商务推荐系统中推荐方法研究

以改进Apriori算法、K_means聚类算法和ARHP算法3种不同的Web挖掘技术为基础构造推荐算法,形成推荐集.仿真实验结果表明基于ARHP的推荐算法的覆盖率和准确度明显高于其他两种方法,可用于基于Web挖掘的电子商务推荐系统中.     

探讨地下卤水净化实现岩盐矿床选择性开采

文章针时目前卤水净化工艺需要投入大量资金建设，并且还不能连续生产等弊端．通过室内岩样净化试验总结，提出了开展卤井试验有关要素及探讨将卤水净化转入地下，实现岩盐矿床选择性开采工艺．