基于模糊改进聚类分析的数据挖掘模型

针对对海量数据库中的大数据进行优化挖掘,可以提高数据特征的提取和检测能力.传统方法采用模糊C均值聚类的数据挖掘算法,当数据在层次聚类过程中空间特征的相似度差异性较小时,数据挖掘的准确度不高.提出一种基于粒子群混沌差分训练对模糊C均值聚类算法进行改进,建立数据挖掘优化模型.首先提出了数据聚类据挖掘模型的总体构架,采用非线性时间序列分析方法进行数据信息流拟合,对数据信息流进行高阶累积量特征提取,采用粒子群混沌差分训练实现模糊C均值聚类算法改进.以改进的模糊聚类算法对提取的高阶累积量特征进行聚类分析,以分析结果为依据对数据挖掘模型进行优化.仿真结果表明,该数据挖掘模型能有效实现海量数据的优化聚类和特征提取,数据挖掘的精度较高,性能较好,避免挖掘过程陷入局部收敛.     

一种新的软聚类投票法及其并行化实现

聚类集成作为数据挖掘的重要应用工具,得到了广泛的认可和研究.本文在投票法的基础上提出一种新的软聚类投票(VMSC)算法.算法首先求取平均隶属度矩阵,然后进行迭代优化.该算法能够消除噪声点影响,具有很好的稳定性.Spark云计算平台能够高效处理大数据.为了提出的算法处理大数据,在Spark云计算平台上实现并行的VMSC算法.VMSC算法实验用12组UCI数据集进行验证,并与sCSPA、sMCLAs HGBF及SVCE等软聚类算法进行对比.结果表明,VMSC算法对软聚类算法具有较好的集成效果.在Spark云计算平台上对VMSC算法并行实现.实验表明,该算法具有较理想的并行效果,能够有效处理大数据.     

基于增量聚类的电子政务短文本信息挖掘算法研究

电子政务平台每天都会产生大量短文本数据,挖掘短文本数据对政府掌握民意有十分重要的作用.针对短文本信息量少,单一短文本向量表示模型产生的特征信息丢失问题,提出一种融合权重及主题特征的混合向量表示模型.该模型利用Word2vec和TF-IDF算法挖掘短文本的局部特征,利用BTM主题模型挖掘短文本全局特征,然后将两种特征向量进行连接构成短文本向量.针对短文本数据增量变化特征,通过增加限定阈值改进传统Single-Pass聚类算法,实现短文本的增量聚类.实验结果表明,该模型能够有效的提高短文本聚类效果.     

基于语义关联性特征融合的大数据挖掘方法

提出一种基于语义关联性特征融合的大数据挖掘算法.对云存储大数据分布式信息流进行高维相空间重构,在重构的相空间中提取大数据的语义关联维特征量,以提取的特征量为测试集进行自适应学习训练.采用模糊C均值算法进行大数据语义关联特征的稀疏性融合和聚类处理,在聚类中心实现对挖掘目标数据的指向性聚敛,输出数据挖掘结果,并采用特征压缩器进行降维处理,降低计算开销.仿真结果表明,采用该方法进行大数据挖掘的特征提取准确性较好,挖掘数据的聚类能力较强,在实时性和准确性方面具有优势.     

基于最大频繁项集的层次聚类方法

几千年来,中医药领域的无数临床实践与理论研究积累了很多对哮喘病的治疗方剂,已有的基于距离的聚类算法在对哮喘方剂数据的聚类上不太有效.根据哮喘药方数据集高维稀疏性的特点提出一种基于最大频繁项集的层次聚类算法,此算法在哮喘方剂的聚类上取得了较好的效果.基于现有中药数据,设计并实现一个中药方剂数据挖掘平台,该平台将中药数据检索功能和中药数据挖掘功能集成起来,带来了极大的便利.     

基于最小生成树的多层次k-Means聚类算法及其在数据挖掘中的应用

针对传统聚类算法存在挖掘效率慢、 准确率低等问题, 提出一种基于最小生成树的多层次k-means聚类算法, 并应用于数据挖掘中. 先分析聚类样本的数据类型, 根据分析结果设计聚类准则函数; 再通过最小生成树对样本数据进行划分, 并选取初始聚类中心, 将样本的数据空间划分为矩形单元, 在矩形单元中对样本对象数据进行计算、 降序和选取, 得到有效的初始聚类中心, 减少数据挖掘时间. 实验结果表明, 与传统算法相比, 该算法可快速、 准确地挖掘数据, 且挖掘效率提升约50%.     

基于AP-CAN的增量关联挖掘算法研究

随着大数据时代的到来,增量关联规则挖掘已成为数据挖掘领域的热门话题.CAN-tree作为增量关联规则挖掘领域的重要算法,其按项目频次大小进行排序会使树(tree)的规模过大,降低算法效率.针对此问题,提出一种基于AP-CAN的增量关联挖掘算法,采用AP聚类思想将原始数据集按项目的支持度不同分为多个集群,修剪不满足最小支持度的集群,利用哈希头表替代项头表,并根据数据量对每条事务排序.实验结果表明,该方法可以显著削减CAN树的规模,降低项目查找时间,提高数据挖掘效率,在效率和稳定性上均优于现有的CAN-tree算法.     

基于Hadoop平台的数据挖掘算法应用研究

Hadoop平台是一个开源的计算机集群系统,它能快速处理海量的数据,且具备低成本、高效率、高扩展、高可靠、高容错的优势.基于Hadoop平台探索了数据挖掘算法的应用,详细阐述了Hadoop平台的基本组成原理以及运行机制,探索了相关的数据挖掘算法.基于MapReduce的K-Modes聚类数据挖掘算法具备较好的自适应性,利用簇众数来取代中心节点,提高了算法效率;基于Hadoop平台的分类算法采用朴素贝叶斯算法来实现数据挖掘过程,实验结果表明它完全适应在大数据环境下的数据处理,节约了时间,提高了算法运行效率.     

联机增量聚类算法研究

研究了联机数据挖掘系统中的并行和增量聚类算法,并给出了算法伪码。实验表明,联机增量聚类算法相对于传统的Apriori算法具有较大优势,同时证明了增量聚类算法及其联机数据挖掘系统的实用性。     

数据聚类算法在web数据挖掘中的应用

在数据挖掘的实现过程中,聚类分析已经成为数据挖掘研究领域中一个非常活跃的研究课题。聚类是数据挖掘中一种重要的挖掘方法,它从数据库中计算发现数据中隐舍的有用信息或知识,数据聚类在很多领域中有着广泛的应用。该文研究的主要内容是数据聚类算法在Web数据挖掘中的应用,获得的聚类结果可以作为web网站结构的优化,站点的重构以及个性化的服务和推荐的重要依据。     

Markedness and its Interpretation in Language Use

Language markedness is a common phenomenon in languages, and is reflected from hearing, vision and sense, i.e. the variation in the three aspects such as phonology, morphology and semantics. This paper focuses on the interpretation of markedness in language use following the three perspectives, i.e. pragmatic interpretation, psychological interpretation and cognitive interpretation, with an aim to define the function of markedness.     

Features of Women's language

Language is a means of verbal communication. People use language to communicate with each other. In the society, no two speakers are exactly alike in the way of speaking. Some differences are due to age, gender, statue and personality. Above all, gender is one of the obvious reasons. The writer of this paper tries to describe the features of women＇s language from these perspectives： pronunciation, intonation, diction, subjects, grammar and discourse. From the discussion of the features of women＇s language, more attention should be paid to language use in social context. What＇s more, the linguistic phenomena in a speaking community can be understood more thoroughly.     

An Analysis of Catherine＇s Character——Wuthering Heights

Wuthering Heights, Emily Bronte＇s only novel, was published in December of 1847 under the pseudonym Ellis Bell. The book did not gain immediate success, but it is now thought one of the finest novels in the English language. Catherine is the key character of this masterpiece, because everybody and everything center on her though she had a short life. We can understand this masterpiece better if we know Catherine well.     

Lower Paleozoic oil relationships within Williston Basin, Canada

The Williston Basin is a significant petroleum province, containing oil production zones that include the Middle Cambrian to Lower Ordovician, Upper Ordovician, Middle Devonian, Upper Devonian and Mississippian and within the Jurassic and Cretaceous. The oils of the Williston Basin exhibit a wide range of geochemical characteristics defined as "oil families", although the geochemical signature of the Cambrian Deadwood Formation and Lower Ordovician Winnipeg reservoired oils does not match any "oil family". Despite their close stratigraphic proximity, it is evident that the oils of the Lower Palaeozoic within the Williston Basin are distinct. This suggests the presence of a new "oil family" within the Williston Basin. Diagnostic geochemical signatures occur in the gasoline range chromatograms, within saturate fraction gas chromatograms and biomarker fingerprints. However, some of the established criteria and cross-plots that are currently used to segregate oils into distinct genetic families within the basin do not always meet with success, particularly when applied to the Lower Palaeozoic oils of the Deadwood and Winnipeg Formation.     

低渗透非均质砂岩油藏启动压力梯度研究

理论推导与室内实验相结合,建立了低渗透非均质砂岩油藏启动压力梯度确定方法。首先借助油藏流场与电场相似的原理,推导了非均质砂岩油藏启动压力梯度计算公式。其次基于稳定流实验方法,建立了非均质砂岩油藏启动压力梯度测试方法。结果表明:低渗透非均质砂岩油藏的启动压力梯度确定遵循两个等效原则。平面非均质油藏的启动压力梯度等于各级渗透率段的启动压力梯度关于长度的加权平均;纵向非均质油藏的启动压力梯度等于各渗透率层的启动压力梯度关于渗透率与渗流面积乘积的加权平均。研究成果可用于有效指导低渗透非均质砂岩油藏的合理井距确定,促进该类油藏的高效开发。     

On Tragic Consciousness In The Works By Ernest Hemingway

As an American modern novelist who were famous in the literary world, Hemingway was not a person who always followed the trend but a sharp observer. At the same time, he was a tragedy maestro, he paid great attention on existence, fate and end-result. The dramatis personae's tragedy of his works was an extreme limit by all means tragedy on the meaning of fearless challenge that failed. The beauty of tragedy was not produced on the destruction of life, but now this kind of value was in the impact activity. They performed for the reader about the tragedy on challenging for the limit and the death.     

Design and analysis of generic LBS application developing platform

Location based services is promising due to its novel working style and contents.A software platform is proposed to provide application programs of typical location based services and support new applications developing efficiently. The analysis shows that this scheme is easy implemented, low cost and adapt to all kinds of mobile nework system.     

Achieving Unusual States of Matter Under High Pressure

正The periodicity of the elements and the non-reactivity of the inner-shell electrons are two related principles of chemistry,rooted in the atomic shell structure.Within compounds,Group I elements,for example,invariably assume the+1 oxidation state,and their chemical properties differ completely from those of the p-block elements.These general rules govern our understanding of chemical structures and reactions.Using first principles calcula-     

Exchange-Correlation and Electronic Excitation Energies from Pairing Matrix Fluctuations

We have developed an adiabatic connection to formulate the ground-state exchange-correlation energy in terms of pairing matrix linear fluctuations.This formulation of the exchange-correlation energy opens a new channel for density functional approximations based on the many-body perturbation theory.We illustrate the potential of such approaches with an approximation based on the particle-particle Random Phase Approximation(pp-RPA).This re-     

Density Functional Theory for the Response of Periodic Systems to Electric Fields Based on the Vector Potential Approach

正The electronic and nuclear(structural/vibrational)response of 1D-3D nanoscale systems to electric fields gives rise to a host of optical,mechanical,spectral,etc.properties that are of high theoretical and applied interest.Due to the computational difficulty of treating such large systems it is convenient to model them as infinite and periodic(at least,in first approximation).The fundamental theoretical/computational problem in doing so is that