他们只是想了解网络是如何运行的，并从中发现问题，挑战现有的知识。
They just wanted to know how computer networks worked and saw any barrier between them and that knowledge as a challenge.
半结构化数据是网络中一种重要的数据形式，其数据抽取和知识发现研究是半结构化数据各项研究的核心。
Semi-instructured data is a kind of the important type in networks, and its data extracting and knowledge discovery is the core for semi-structured researches.
他们只是想了解网络是如何运行的，并从中发现问题，挑战现有的知识。
They just wanted to know how computer networks worked and saw any barrier between them and that knowledge as a challenge. -.
模糊聚类是目前知识发现(KDD)领域中的研究分支之一，而神经网络是用于聚类的良好工具。
Fuzzy cluster is one of the branches of knowledge discovery in database (KDD). And neural network is a good tool for clustering.
本文研究网络告警序列中的知识发现问题，提出并实现了一种基于滑动窗口的情景规则挖掘算法。
In this paper, knowledge discovery in network alarm sequence is studied and an algorithm of frequent episode rule discovery based on sliding Windows is presented.
该文介绍了使用基于数据挖掘和知识发现的神经网络技术来解决库存问题的方法。
This paper introduces neural networks technology based on data mining and knowledge discovery for inventory problems.
针对知识发现中的信息模糊查询问题，提出了一种基于神经网络的信息聚类及联想实现方法。
In this paper, a method of information clustering and concept association is shown, it is based on neural network, and it aims at inkling information searching in knowledge discovery.
数字图书馆是解决网络信息过载的关键技术，是资源共享和知识发现的主要媒介之一。
Digital library is a crucial technology to solve the overload of the Internet information and one of the mediums of sharing resource and discovering knowledge.
由于网络数据流量的急剧膨胀，人们迫切希望对流量数据进行更深层次的分析，以发现隐藏在数据中的知识。
Since the rapid growth of net flow, for discovering the knowledge behind the data, that the requirement of applying deeper analyses to this kind of data becomes more and more urgent.
本文首先论述了知识发现的过程、对象及方法，然后介绍了研究中实际使用的麻醉病例数据库、神经网络模型和对结果的检验评价方法。
Firstly, the paper discusses the process, object and method of knowledge discovery, then introduces the anesthetization case database, the ANN model and the evaluation about the result.
分别使用模糊聚类方法、混合模糊神经网络、关联规则挖掘等知识发现方法对间歇过程中的配方、周期性污垢、操作策略规则等进行挖掘和处理。
Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.
关联规则学习是一类新型的知识发现方法，已成为网络安全审计的重要研究方向。
Learning of association rules is a new method to discover new knowledge and has been a significant aspect of the study on network security audit.
基于超图映射的数据模型设计具有面向对象的特性，便于对机遇发现相关的信息知识网络进行建模。
The data model design based on hypergraph has an object-oriented character, which is convenient for setting up models for information knowledge network with respect to opportunity discovery.
从知识网络的角度，对专家领域知识的发现及表示方法进行了研究。
The paper is focused on the discovery and representation methods of expert domain knowledge based on knowledge network.
本论文还简要讨论了在数据库中发现知识的数据可视化问题，并采用神经网络技术解决该问题，描述了建立一个神经网络数据挖掘的全过程。
Meanwhile, the paper discusses the problem of data visualization, and resolves it using neural network technique, describes the whole process of building a neural network data mining system.
结合科学发现原理和图论的知识，选取有结构属性的关键节点、被引频次等参数来解释图谱网络中的相关信息。
Combining scientific discovery principles and graph theory, key notes with structure characters and cited frequency are provided to explain the relevant information of the network.
因此，借助神经网络、统计分析、数据挖掘等技术手段实现智能感觉评估中的知识发现，将具有重要的现实意义。
So using neural networks, statistics and data extraction to realize intelligent sensory evaluation for KDD will be important and significant.
电信网络是一种典型的社会网络，通过社会网络分析进行模式挖掘与分析可以更好地发现信息和知识。
Telecom network is a typical social network, and using social network analysis method to detect and analyze the telecom network can help us obtain information and knowledge more accurately.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
第三章在算法层次上提出了基于自组织竞争神经网络数据挖掘算法的知识发现系统用于生成拟定的结构方案。
Chapter 3 Applies the KDD system whose data-mining algorithm is based on Self-Organizing Neural Network for generating initial alternative designs.
研究结果发现：企业网络的异质性和弱的联结强度不利于网络中知识转移；
Findings showed that:network diversity and strength of weak-ties hindered knowledge transfer;
研究结果发现：企业网络的异质性和弱的联结强度不利于网络中知识转移；
Findings showed that:network diversity and strength of weak-ties hindered knowledge transfer;
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