在层次模型的基础上，提出了一个智能数据挖掘的开发框架，包括问题识别层、任务层、应用层和用户层等多层概念。
The paper presents a framework of intelligent data mining based on the layer model. It consists of multi-layers of concepts, problem identifying lay er, task layer, adaptive layer and user layer.
其中关键的一步是要从该数据挖掘出对业务有实际价值的智能。
The critical step is to derive business-actionable intelligence from that data.
你允许其他应用进入部分或全部的图表，进行数据挖掘并提供增值的观点和自动的智能帮助。
You will be able to permit other applications to access part or all of your graph to datamine it and provide you with value-added views and even automated intelligent assistance.
这些问题的示例包括天气预报、数据挖掘、遗传和生物医学工程，及人工智能应用。
A sampling of these include weather prediction, data mining, genetic and biomedical engineering, and artificial intelligence applications. 5.
CleverSense的共同创始人巴巴克•帕勒万和尼玛·阿斯加尔·贝基是在2008年认识的，当时他们二人都在斯坦福大学学习数据挖掘和人工智能。
Clever Sense co-founders Babak Pahlavan and Nima Asgharbeygi met in 2008 when both were studying data mining and artificial intelligence at Stanford.
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.
数据挖掘旨在使用统计方法、人工智能和标准的数据库管理技术等等，从大型数据集中抽取模式。
Data mining seeks to extract patterns from large sets of data using, among other things, statistical methods, artificial intelligence, and standard database management techniques.
很少有人使用人工智能；通常，数据挖掘只是搜索并汇集大型数据集，以查找有用的信息。
Few people work with artificial intelligence; most commonly, data mining simply entails the ingesting of large data sets and searching through them to find information that is useful.
最近我们的工作重点在于利用人工智能技术对大数据进行深度的挖掘，开展多个领域的应用。
Recently, our work focuses on the use of artificial intelligence technology for large data mining depth, to carry out a number of areas of application.
谷歌把大量财力和技术资源投入到了一系列数据挖掘和人口智能系统之中，从语音识别到机器翻译再到计算机视觉，不一而足。
Google has shoveled vast financial and engineering resources into a collection of data mining and artificial intelligence systems, from speech recognition to machine translation to computer vision.
将数据挖掘的聚类分析方法与入侵检测系统相结合，提出了一种入侵检测系统的智能结构模型。
Clustering analytical means of Data Mining is combined with Intrusion Detection System and an intellectual structure pattern used in Intrusion Detection Syst.
然后提出了工业智能监测与管理系统结构设计，分析了数据挖掘在系统中的位置和不同阶段的各种作用。
Then raised the design of industry intelligent monitoring and managing system structure, also analyzed the position of data mining engine in the system and the roles in different phases.
受《疑犯追踪》的启发，一批主打人工智能和数据挖掘的电视剧接踵而来。
Inspired by Person of Interest, an array of shows featuring artificial intelligence and data mining have been released.
数据挖掘融合了数据库技术、人工智能和统计学，是目前的研究热点。
Data mining is a hotspot that combines the techniques in databases, artificial intelligence and statistics areas.
数据挖掘是当今国际人工智能和数据库研究的新兴领域，而关联规则的更新是数据挖掘的一个重要研究内容。
Data mining is a new emerging area for the research of artificial intelligence and databases, in which incremental updating of association rules is an important research topic.
本文论述了系统的设计和实现过程，对数据挖掘技术和智能客户端离线应用技术等关键技术作了较为深入的研究。
This paper discusses the design and realizing process of the system. Makes a more in-depth study on data mining technology and the Smart Client offline application technology.
而多年在国外从事人工智能和大数据分析挖掘研究的肖京，对国内大数据应用更为看好。
And for many years engaged in artificial intelligence and big data analysis and Research on the excavation of Xiao Jing, the domestic big data applications more optimistic.
粗糙集理论作为一种处理不完备信息的有力工具，已广泛应用于人工智能的许多领域，特别是数据挖掘和知识发现领域。
Rough set theory, a powerful tool to deal with incomplete information, has been widely used in the area of artificial intelligence, especially in data mining and knowledge discovery.
粗糙集理论被广泛应用于人工智能、模式识别、数据挖掘和知识发现等领域。
Rough sets theory was used widely to artificial intelligence, pattern recognition, data mining and knowledge discovery etc fields.
该混合模型融合多种智能计算方法优点于一体，为时序数据挖掘提供了一种新的实用方法。
This hybrid model synthesizes the merits of multiple intelligent computation methods and offers a new effective solution of time series data mining.
粗糙集理论是一种新的处理模糊和不确定性知识的数学工具，在人工智能及数据挖掘等众多领域已经得到了广泛的应用。
Rough set theory is emerging as a powerful tool for dealing with vagueness and uncertainty of facts, which has important applications to artificial intelligence and data mining.
数据挖掘是近年来国际上智能信息处理和决策支持分析领域的最前沿的研究方向之一。
Data mining is one of the most advanced research directions of intelligent information processing and decision support analysis nowadays.
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。
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.
CIAS是将数据挖掘技术应用在CRM领域而开发的一个客户智能分析平台。
Customer Intelligent Anylysis Platform, called CIAS, is introduced which applying data mining technology to CRM area.
通过比较分析国内外著名竞争情报软件，构建了一个基于数据挖掘的企业竞争情报智能采集模型。
Through comparing and analyzing famous competitive intelligence software, the paper constructs and intelligently gathering model of competitive intelligence based on data mining.
在短期，可能还有另一种神经科学的研究方法会影响计算，数据挖掘和人工智能。
In the shorter-term, there is another way neuroscience research might influence computation, data mining, and artificial intelligence.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
他的研究兴趣包括推荐系统、个性化、数据挖掘以及人工智能。
His research interests include recommendation systems, personalization, data mining, and artificial intelligence.
近年来，数据挖掘已成为人工智能和数据库等研究领域的一个热点。
In recent years, the data excavating has been a hot spot in research field of the database.
近年来，数据挖掘已成为人工智能和数据库等研究领域的一个热点。
In recent years, the data excavating has been a hot spot in research field of the database.
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