web上和内部数据存储中非结构化和半结构化数据量的爆炸式增长，促进了对对智能且高效的数据挖掘的需求。
The sheer volume of unstructured and semi-structured data found on the web and in internal data stores increases the need for intelligent and effective data mining.
在本系列中，您将了解如何管理和组织数据与内容，了解分布式数据挖掘并学习分析信息并向用户呈现的一些技巧。
Throughout the series, you discover how to manage and organize data and content, learn about distributed data mining, and find tips for analyzing and presenting information to users.
请在下个月继续关注本系列以了解分布式数据挖掘。
Tune in to this series to learn about distributed data mining next month.
分布式数据源数据挖掘的第一个问题是发现。
The first issue with data mining of distributed data sources is discovery.
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。
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!.
从Cognos报告中，用户可以通过调用数据库上相应的存储过程，交互式地调用数据挖掘。
The user can interactively invoke mining by calling a corresponding stored procedure on the database from a Cognos report.
沙子仍然半覆盖着新发现的希腊-罗马式的石棺，如同挖掘中所示的那样。
Sands still half-cover the newfound Greco-Roman sarcophagus, shown in mid-excavation.
往郊区撤离也联系着英国从战时继承的第三个、田园式的元素，正表达在短语“为胜利而挖掘”中。
The evacuation to the countryside links to a third, pastoral element of Britain's wartime inheritance, expressed in the phrase "Dig for Victory".
它广泛用于液压挖掘机，振动式压路机和其它工程机械。
It is widely used in hydraulic excavators, vibratory road roller and other Construction Machinery.
在央视大热的《挑战不可能》节目中，ET110步履式挖掘机完成了攀登4米高台的折返动作。
On a popular CCTV TV Show, Impossible Challenge, ET110 Climbing Excavator climbed across this 4-meter high platform within 10 minutes.
它广泛用于液压挖掘机，振动式压路机和其它工程机械。
It is widely used hydraulic excavators, vibratory road roller and other Construction machinery.
在挖掘的时候，对于基地也会产生“姑息疗法”式的暴力性破坏。
A sort of "palliative treatment" of the violence done to the site during the act of excavation.
面对电信行业客户数据爆炸式增长，将数据挖掘技术引入电信客户关系管理中是电信企业提高决策效率的关键。
In the face of customer data increasing explosively, data mining is the key to advance the decision-making efficiency in telecom CRM.
利用数据挖掘技术提取关键信息，判断是否存在分布式扫描、慢速扫描等行为，并及时报警。
The information can be used to judge whether there is distributed scanning, slowly scanning etc, and alert if so.
通过分类正确度有效处理了决策表的不一致性，采用启发式算法，挖掘出满足给定精确度的最简产生式规则知识。
We deal with the inconsistency through classification accuracy, using heuristic algorithms we can get a set of minimal productive rules satisfying the given classification accuracy.
提出了一种新的量化关联规则挖掘算法QAR及其增量式更新算法IUQAR。
A novel algorithm, QAR, for mining quantitative association rules and an incremental updating algorithm, IUQAR, are proposed.
因此，本文就如何构建一个开放式数据挖掘引擎展开研究。
Therefore, this paper focuses on how to build up an open data-mining engine.
为了提高对隐私数据的保护程度和挖掘结果的准确性，提出一种有效的隐私保护分布式关联规则挖掘算法。
In order to raise the level of protection of data privacy and accuracy of the outcome of the excavation, an effective protection of the privacy of distributed algorithms Mining Association Rules Act.
论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
在此基础上提出相应的对每一个决策类建立决策矩阵的增量式挖掘算法，最后利用算例验证了算法的合理性和有效性。
After that incremental data mining algorithm of establishing decision matrix to each of decision type is put forward and the characteristic of rationality and validity are examined by example.
讨论了松散耦合的分布式信息系统中的数据挖掘问题。
This paper discusses the problem of data mining in loosely coupled distributed information systems.
金融数据的实时分析，过程控制，规章的遵守，安全应用这些都是基于嵌入式数据库的数据挖掘可以应用的领域。
Analysis of real-time financial data, process control, rule observance, security application are fields in which data mining based embedded mobile database can be used.
本文提出了一个基于反向矩阵的最大频集的交互式挖掘算法。
In this paper, an algorithm based on inverted matrix for interactive mining is proposed.
最后，论文基于数据挖掘的理论和知识工程的增量式开发方法研制了运行优化数据检验软件和优化目标值挖掘软件。
Finally, data validation and optimization value finding software is made and integrated into UPOS according to the theory of data mining and knowledge engineering.
针对分布式系统中的数据挖掘问题，提出了一种新颖高效的分布式元挖掘方法。
Aiming at the problem of data mining in distributed system, a novel and effective meta-mining method is presented.
探讨了利用分布式对象技术和数据挖掘技术来解决网络安全系统自适应性的研究思路。
Discussing the research method that resolve the adaptation of security system using distributed object technique and data mining.
为有效解决分布式攻击，提出了基于多传感器数据融合与挖掘的分布式入侵检测模型。
To solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).
为有效解决分布式攻击，提出了基于多传感器数据融合与挖掘的分布式入侵检测模型。
To solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).
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