Immune algorithm has been successful in many fields, such as virus removal and invasive monitoring, function optimization, TSP problem, data analysis and mining, fault diagnosis.
免疫算法已在很多领域得到了成功的应用，如病毒清除和入侵监控、函数优化、TSP问题、数据分析和挖掘、故障诊断等。
All the post analysis of the information that we get when we run our processes are in fact closely related with Business analysis and Data Mining concepts.
而我们运行了业务流程之后所进行的一切信息分析的工作实际上与业务分析和数据挖掘概念紧密的联系在一起。
Chen, who used to do search and data mining for Microsoft Asia Research Institute, then ran a statistical analysis and screened all the null accounts among his fans.
随后，曾在微软亚洲研究院从事搜索和数据挖掘研究工作的陈传亮通过统计分析，将粉丝中的那些无效帐号全部屏蔽掉。
Blame data mining and bad analysis for multiplier sightings, Barro says.
必须谴责瞄准乘数效应的数据挖掘和错误分析工作。
There are several techniques for data analysis that are in common use today: query and reporting, multidimensional analysis, and data mining.
目前，有几种常用的数据分析技术：查询和报表制作、多维分析以及数据挖掘。
Historically, data mining has been a task that could only be accomplished by experts in statistics and data analysis.
在过去，数据挖掘一直是统计和数据分析专家的任务。
Linked data, semantic analysis, analytics and data mining all form a layer on top of the content-web that could serve as the foundation for the next series of applications and other added value.
关联数据、语义分析、分析数据挖掘，这些都可以作为下一代网络产品和其它附加值的基础。
With Hadoop, distributed data mining and analysis is available to all kinds of software innovators and entrepreneurs, including but not limited to big guns like Google and Yahoo!.
有了Hadoop，分布式数据挖掘和分析对所有软件创新者和企业家都是可用的，包括但不限于Google和Yahoo ！这类大企业。
SAS system can totally meet the demands of this model with its perfect data management functions, strong data analysis ability and data mining ability.
SAS系统以其完善的数据管理功能、强大的数据分析能力和数据挖掘能力完全能够满足该模型的需要。
The goal of workflow mining is to reverse the process and collect data at runtime to support workflow design and analysis.
工作流挖掘的目标是：倒转过程，收集和利用运行数据，从而支持工作流设计和分析。
Cluster analysis is one of important techniques in data mining and exploratory data analysis.
聚类分析是数据挖掘和探索性数据分析中一个极为重要的技术。
Cluster analysis, as a module and function of data mining, is the main content of this paper.
聚类分析作为数据挖掘的一类功能，是本论文研究的主要内容。
A rough set based data mining system named RSDMS is put forward and realized after the analysis of algorithms in rough set.
在分析了粗集的各种算法之后提出并实现了一个基于粗集的数据挖掘系统RSDMS。
Has a certain ability of data statistic and analysis, can carry on the simple modeling and calculation, can mining analysis the data of economy and organization.
具有一定的数据统计分析能力，能进行简单的建模及计算，能对经济及组织的数据进行挖掘分析。
As early as four years ago, we spent a lot of time to break the island of information, data cleaning, integration, analysis and mining.
早在四年前，我们就花了大量时间来打破信息孤岛，对数据进行清洗、整合、分析挖掘。
The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.
DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术，二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。
The analysis and mining of bioinformation can be strongly supported by means of acquiring high quality bio-data efficiently and conveniently from integrated heterogeneous bioinformation resource.
通过有效手段从整合的异构生物信息资源中获取高质量的生物数据，能够为生物信息的分析和挖掘提供强有力的支持。
The application domains of data mining in bank industry are wide, including client relationship management, risk analysis and profit analysis of financial products.
数据挖掘技术在银行领域可应用的范围非常广泛，如客户关系管理、风险分析与控制、资金匹配、金融产品的赢利分析等等。
Data mining is widely used abroad in market analysis and forecast, client analysis and forecast in recent years.
近年来，数据挖掘技术在市场分析预测、客户分析预测方面得到了广泛的应用。
In recent years, data mining has found wide application in market and client analysis and forecast.
近年来，数据挖掘技术在市场分析预测、客户分析预测方面得到了广泛的应用。
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。
In this paper, after making a analysis of the relate field of data mining and its basic questions, we provide a new method for knowledge discovery.
本文分析了数据挖掘技术的相关领域及其基本问题，为知识获取提供了一种新方法。
Feature is the basic processing and analysis unit of data mining.
特征是数据挖掘的基本处理和分析单元。
Data mining USES abroad in market analysis and forecast, client analysis and forecast in recent years.
近几年来，数据挖掘在市场分析预测、客户分析预测方面得到了广泛的应用。
The Customer relationship management system based on data mining technique consists of data storage and colligation, multidimensional date analysis, data mining, model storage, method storage.
基于数据挖掘技术的客户关系管理系统由数据存储和综合、多维数据分析、数据挖掘、模型库、方法库组成。
Clustering analysis is an important approach of data mining, and an important content of human activity.
聚类分析是数据挖掘的重要方法之一，也是人类活动的一个重要内容。
But, the concrete analysis method and analysis tool comes proceeding market basket analysis still blind spot on data mining realm.
但是，具体采用何种分析方法和分析工具来进行购物篮分析，目前在数据挖掘领域还是个盲点。
Based on the customer-centric data warehouse, several methods for customer data analysis, such as query and report, OLAP and data mining, are introduced.
基于建立的客户数据仓库，介绍了查询与报表、OLAP分析和数据挖掘等客户数据分析方法。
Finally, we discuss the application of data mining for the analysis and decision of stock.
然后通过实例讨论了数据采掘在股票分析与决策系统中的应用。
Finally, we discuss the application of data mining for the analysis and decision of stock.
然后通过实例讨论了数据采掘在股票分析与决策系统中的应用。
应用推荐