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MiningAssociationRulesinLargeDatabases
- Mining Association Rules between Sets of Items in Large Databases，数据挖掘ERP，Apriori解释专用。-Mining Association Rules between Sets of I Systems is in Large Databases, data mining ERP, Apriori explained precincts.
datamining01
- 序列模式的概念最早是由Agrawal和Srikant 提出的 序列模式定义：给定一个由不同序列组成的集合，其中，每个序列由不同的元素按顺序有序排列，每个元素由不同项目组成，同时给定一个用户指定的最小支持度阈值，序列模式挖掘就是找出所有的频繁子序列，即该子序列在序列集中的出现频率不低于用户指定的最小支持度阈值-sequential pattern is the earliest concept of Agrawal and Srikant from the sequential pattern
datamining02
- 数据挖掘及时间序列分析在NIDS中的应用 现有检测方法及其不足 研究目标 研究意义 研究方案 工作进度-data mining and time series analysis in NIDS of existing methods and the lack of objective research studies Significance program progress
datamining03
- 文本挖掘的起源 文本挖掘的过程 特征建立 特征集缩减 知识模式提取 模型评价 国内外研究状况 -Text Mining Text Mining the origin of the process of establishing reduced feature set of knowledge extraction model to evaluate the model at home and abroad Research
Data-mining-research-status-review
- 数据挖掘综述类文献，有助于了解数据挖掘的基础知识。-Data mining literature review class, help to understand the basic knowledge of data mining.
Text-Mining-in-R
- 主要介绍了R语言环境下的文本挖掘，包括自然语言处理技术综述、tm包、xml包及文本挖掘方面的应用。-Introduces the R language environment text mining, natural language processing techniques including application review, tm package, xml and text mining aspects of the package.
SAS-Data-Mining-Using-Sas-Enterprise-Miner---A-Ca
- SAS Data Mining book. A very good one for beginners, with case study.
Comparable-Entity-Mining-from-Comparative-Questio
- Comparable Entity Mining from Comparative Questions
Data-Mining-and-Machine-Learning
- A handbook of data mining
DATA-QUALITY-MINING
- this file is about data mining
Efficient Mining of Frequent itemsets in Social
- Social networks; Frequent Itemset Mining; Cloud Computing; MapReduce
31-Mining-network-data-for-intrusion-detection-th
- Mining network data for intrusion detection through combining SVM with ant colony
High-Performance-Data-Mining-in-Time-Series-Techn
- High Performance Data Mining in Time Series Techniques and Case
data-mining-algorithms
- 数据挖掘重点算法，主要简要讲述了数据挖掘邻域的几大主要算法。-Ten of data mining algorithms
Ten-classic-data-mining-algorithms
- 数据挖掘十大经典算法，便于初学者学习与计算，以便更深入地了解数据挖掘-Ten classic data mining algorithms, easy for beginners to learn and calculation, in order to better understand the data mining
An-Introduction-to-Data-Mining
- A introduction to data mining. this document helps to find out the objectives of DM
lecture-01-implementation-of-data-mining-done
- Data mining book for beginner
Learning-Data-Mining-with-Python
- 在Python开发环境下学习数据挖掘并建立预测模型-Learning Data Mining with Python Harness the power of Python to analyze data and create insightful predictive models
data-mining-application
- data mining applications
Data-Mining
- 本论文在对各种算法深入分析的基础上，尤其在对基于密度的聚类算法、基于层次的聚类算法和基于划分的聚类算法的深入研究的基础上，提出了一种新的基于密度和层次的快速聚类算法。该算法保持了基于密度聚类算法发现任意形状簇的优点，而且具有近似线性的时间复杂性，因此该算法适合对大规模数据的挖掘。理论分析和实验结果也证明了基于密度和层次的聚类算法具有处理任意形状簇的聚类、对噪音数据不敏感的特点，并且其执行效率明显高于传统的DBSCAN算法。-Based on the analysis on clustering