Data and text mining software.
数据和文本挖掘软件。
The text mining application described in this article, Preston, analyzes documents to find mentions of peoples' names, and uses data mining to find groups of people who are often mentioned together.
本文中描述的文本挖掘应用程序称为Preston，它对文档进行分析，寻找提到的人名，并使用文本挖掘寻找常常同时提到的人。
InfoSphere Warehouse design Studio is the Eclipse-based tooling platform used to design workload rules, data transformation flows, and analytical flows for data mining and text analytics.
InfoSphere WarehouseDesignStudio是基于Eclipse的工具平台，用于为数据挖掘和文本分析设计工作负载规则、数据转换流和分析流。
PoolParty is a commercial thesaurus management and SKOS editor system that includes text mining and linked data capabilities.
PoolParty是一个商用的词库管理与SKOS编辑系统，它包含文件挖掘与数据链接功能。
Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.
目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。
Data and Text Mining - Build descriptive and predictive models and deploy results throughout the enterprise.
数据和文本挖掘-建立描述和预测模型，和基于整个企业的战略部署。
The difference between regular data mining and text mining is that in text mining the patterns are extracted from natural language text rather than from structured databases of facts.
文本数据挖掘也不同于常规意义上的数据挖掘，常规数据挖掘是在数据库中发现感兴趣的模式，而文本数据挖掘是从自然语言文本中发现模式。
Analysis and Mining of Big Text Data: Opportunities, Challenges, and Applications.
文本大数据分析与挖掘：机遇，挑战，及应用前景。
This paper proposes a rough spectral clustering algorithm and apply the algorithm on text data mining.
该文提出了一种粗糙谱聚类算法，并将其应用于文本数据挖掘。
Text mining mainly deals with incomplete data, unstructured data and character data.
文本挖掘主要处理半结构化、无结构化和字符型数据。
Recently data mining and text mining are important research areas in information technology.
数据挖掘和文本挖掘是当前信息技术中的一个重要研究领域；
Relation extraction is an important task in text mining, it can reflect the relationship between the named entities and is helpful to find implicit knowledge in the substantial data and text.
关系抽取是文本挖掘的一项重要研究内容，它能够反映命名实体之间的关系，有助于发现隐含在大量数据和文本中的知识。
The main research of this text is to study data warehouse and data mining, and how to application.
本文主要研究数据仓库、数据挖掘等技术在电信行业经营分析中应用的相关理论和实际应用。
Several methods of data mining and text mining have been studied in this paper, which mainly includes: attribute reduction methods, clustering methods.
本文研究了基于遗传算法和社会演化算法的数据挖掘和文本挖掘方法，主要包括数据挖掘和文本挖掘中的属性约简问题、聚类问题。
Text classification is an important branch in data mining filed, which is responsible for automatically dealing with those class-unknown texts and judging which pre-defined class sets they reside in.
文本分类是数据挖掘领域中重要分支之一，其任务是对未知类别的文本进行自动处理，判断它们所属的预定义类别集合中的类别。
This text have the data mining technology and credit card business analysis technology combined together, it is mainly used in credit card model.
本文将数据挖掘技术与信用卡业务分析相结合，主要分析数据挖掘技术在信用卡信用评分模型中的应用。
Based on web mining technology, automatic text classification has become a hot research area in the field of data mining and net mining.
文本数据分类以文本挖掘技术为基础与核心，是近年来数据挖掘和网络挖掘领域当中的一个研究热点。
Absrtact: Text classification is the base of information retrieval and data mining and it is widely used in web data mining and search engine.
摘要：文本分类是信息检索和数据挖掘的基础，被广泛应用于网络数据挖掘及搜索引擎等方面。
Study and application of text data mining is one of the most important problems in the data mining. In this paper, we firstly study a method of text data mining.
挖掘的理论和应用研究是数据挖掘领域一个新的重要分支，介绍了一种文本数据挖掘方法。
Using the present advanced technologies such as nature language, full-text searching and data mining, this paper designed a full-round intelligent question-answer system of network course.
利用当前比较先进的自然语言分析技术、全文检索技术、数据挖掘技术等，设计了比较全面的网络课程的智能答疑系统。
Her expertise includes consumer health informatics, medical text mining, data integration, and internet user behavior analysis.
致力于公众健康信息学、医学文本挖掘、数据整合、互联网用户行为分析等技术的研发。
Foreign Text mining and data visualization tools in patent information analysis.
专利文本挖掘和可视化工具研究。
Text categorization is an important task in Data Mining, and it is an important way for getting information.
文本分类是数据挖掘的重要课题，它是获取信息资源的重要方式之一。
Next, the text has probed into the concept and the structure of data warehouse and data mining, as well as the application data mining strategy and data mining technology in financial decision-making.
其次探讨了数据仓库、数据挖掘的概念与结构，以及数据挖掘策略和数据挖掘技术在财务决策中的应用。
It's the first mining solution that tightly integrates text-based information with structured data for improved analyses and decision making.
它第一次开发出把文本信息和结构化数据紧密集成的解决方案，以提高对数据的分析和决策能力。
It's the first mining solution that tightly integrates text-based information with structured data for improved analyses and decision making.
它第一次开发出把文本信息和结构化数据紧密集成的解决方案，以提高对数据的分析和决策能力。
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