Description: 书在介绍了数据挖掘原理的基础上，从实用的角度出发，详细地介绍了数据挖掘的经典算法。本书是国内第一本对数据挖掘技术基础算法进行详细描述的实用性教材。
第1章从不同的角度对数据挖掘进行了介绍。第2章介绍了数据仓库技术的概念并给出了数据立方体的理论基础。第3章讲述了数据挖掘的数据预处理所涉及到的概念及算法。第4章～第8章详细介绍了数据挖掘的经典领域的算法，其中第6章简单介绍了数据可视化的内容。第9章介绍了开放的数据挖掘平台。
本书的使用对象是在校高年级的本科生、研究生及各个领域的高级软件开发人员。 -book introduced the Data Mining on the basis of principle, from the practical point of view. detailed presentation of the classical data mining algorithms. The book is the first of the technical basis for data mining algorithms described in detail the practical teaching. Chapter 1 from the perspective of different data mining was introduced. Chapter 2 of data warehouse technology and the concept of a data cube is the theoretical foundation. Chapter 3 on the data mining data preprocessing involved in the concept and algorithms. Chapter 4 ~ Chapter 8 details of the data mining field of classical algorithm, Chapter 6 which introduced a simple data visualization content. Chapter 9 on the open platform for data mining. The book was targeted at the use of high-grade school students, graduate stu Platform: |
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Author:lorainve |
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Description: 我国是世界上小麦种植面积最大和消费最高的国家之一。小麦为国际主粮之一，也是食品工业的重要原料。作为最重要粮食品种之一的小麦，其价值与用途取决于它的品质。因此，基于信号处理技术，研究客观、便捷的小麦品质测定方法对提高小麦品质、减少产后损失、保证国家粮食安全具有十分重要的意义。本课题拟在研究、分析国内外无损检测技术在农产品品质分析应用现状和研究进展的基础上，研究小麦籽粒声信号的预处理方法。根据声学检测原理，研制出小麦籽粒的声信号采集装置，首先采集小麦籽粒下落碰撞所产生的声音信号，对小麦声信号进行编辑和预处理，实验结合信号处理技术及MATLAB软件，对单粒小麦样品的声信号进行谱估计和小波变换，提取出时域和频域特征参数，为探讨小麦声学特性与其品质指标的关系奠定基础。本论文利用MATLAB软件编写小麦声音信号预处理程序，通过对小麦籽粒声信号进行处理，成功的提取出了有效的时域、频域的多种特征参数，为研究其声学特性与小麦品质内在的关系，做了充分的准备工作。-China is one of the countries in the world which has the largest wheat growing area and highest consumption. Wheat is one kind of the staple food in the world and also an important material for food industry. The value of wheat and its use all depends on is quality, To enhance quality of wheat,readuce post harvest loss and ensure grain security, great efforts should be made to develop rapid, objective, and easy methods for assessing wheat quality using signal processing techniques. This paper do the research of wheat signal preconditioning method and it basis of analysis domestic and foreign non-destructive testing technology.According to acoustic detection theory,an equipment of obtaining wheat sound signals is developed. Collecting the dropping voice signals of different varieties of wheat samples.And then do editing and sound signal preprocessing on wheat through signal processing technology.This paper do some research about spectrum estimate and wavelet transform on single wheat wi Platform: |
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Author:qichao |
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Description: The system has been developed to implement data cleaning techniques .If the data in the data bases are incomplete, noisy and inconsistent and we wish to analyze data by data mining techniques, then we have to preprocess the data by using preprocessing techniques like data cleaning in this case. Platform: |
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Author:Krishna |
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Description: As the years of intensive research and development went by, and with the birth of
several new conferences and workshops such as IWFHR (International Workshop
on Frontiers in Handwriting Recognition),1 ICDAR (International Conference on
Document Analysis and Recognition),2 and others [8], recognition techniques
advanced rapidly. Moreover, computers became much more powerful than before.
People could write theway they normally did, and characters need not have to be written
like specified models, and the subject of unconstrained handwriting recognition
gained considerable momentum and grew quickly. As of now, many new algorithms
and techniques in preprocessing, feature extraction, and powerful classification methods
have been developed [8, 9]. Further details can be found in the following chapters Platform: |
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Author:Kiki |
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Description: 采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行-Human detection and tracking in high density
crowds is an unsolved problem. Standard preprocessing techniques such
as background modeling fail when most of the scene is in motion. We
integrate human detection and tracking into a single framework, and in-
troduce a con rmation-by-classi cation method to estimate con dence
in a tracked trajectory, track humans through occlusions, and eliminate
false positive detections. Platform: |
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Author:王邦平 |
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Description: Logarithm transform is the preprocessing techniques used to normalize the illumination variation.
In the log domain the re
ectance and illumination of the image can be easily Platform: |
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Author:murthy |
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Description: The problem of intrusion detection has been studied and received a lot of attention in
machine learning and data mining in the literature survey. The existing techniques are not
effective to improve the classification accuracy and to reduce high false alarm rate.
Therefore, it is necessary to propose new technique for IDS. In this work, we propose a
new K-means clustering method with a different Preprocessing and Genetic Algorithm
for identifying intrusion and classification for both anomaly and misuse.
The experiments of the proposed IDS are performed with KDD cup’99 data set. The
experiments will clearly results the proposed method provides better classification
accuracy over existing method. Platform: |
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Author:Sumit |
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Description: Diagnosing Prostate cancer is a challenging task for Urologists,
Radiologists, and Oncologists. Ultrasound imaging is one of the
hopeful techniques used for early detection of prostate cancer.
The Region of interest (ROI) is identified by different methods
after preprocessing. In this paper Platform: |
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Author:Divya Hiremath |
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Description: 基于小波预处理技术的低频振荡Prony分析-Preprocessing techniques based on wavelet analysis of low frequency oscillation Prony Platform: |
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Author:刘伟 |
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Description: 主要内容有：雷达数据处理概述（包括研究目的、意义、历史和现状等），参数估计与线性滤波方法，非线性滤波方法，量测数据预处理技术，多目标跟踪中的航迹起始，极大似然类多目标数据互联方法，贝叶斯类多目标数据互联方法，机动目标跟踪，群目标跟踪，多目标跟踪终结理论与航迹管理，无源雷达数据处理，脉冲多普勒和相控阵雷达数据处理，雷达组网数据处理，雷达数据处理性能评估，雷达数据处理仿真技术，雷达数据处理的实际应用，以及关于雷达数据处理理论的回顾、建议与展望。-The main contents are: an overview of the radar data processing (including research purpose, meaning, history and current status, etc.), parameter estimation method with linear filtering, nonlinear filtering method, measurement data preprocessing techniques, starting track multiple target tracking, maximum Likelihood class of multi-target data interconnection methods, Bayesian methods class multi-target data association, target tracking, target tracking group, multi-target tracking end theory and track management, passive radar data processing, pulsed Doppler and phased array radar data processing, radar network data processing, radar data processing performance evaluation, radar data processing simulation technology, the practical application of radar data processing, as well as a review on radar data processing theory, suggestions and prospects. Platform: |
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Author:dabin |
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Description: 本文前三章分别简要介绍信息安全，入侵检测和安全日志的相关
概念和基本原理；第四章重点介绍数据挖掘技术，包括了关联规则分
析，序列分析，分类分析和聚类分析；第五章论证数据挖掘技术应用
于入侵检测系统的必要性和实施的系统架构；第六章详细说明实验流
程和实验过程中对关联规则算法的改进，其中重点研究了运用 K-均
值算法对审计日志做预处理和在实现关联规则挖掘时，如何改进
Apriori 算法，使之能在面对安全日志这种高维度数据时比原有算法
效率获得大幅度提高；-This article briefly describes the first three chapters were related to information security, intrusion detection, and security logs
The basic concepts and principles chapter focuses on data mining technology, including a sub-association rules
Analysis, sequence analysis, classification and clustering analysis Chapter demonstrate the application of data mining techniques
On the necessity of the intrusion detection system and system architecture implementation flow experiments described in detail in Chapter VI
Cheng and experiment to improve the algorithm of association rules, which are focused on the use of K-
Value preprocessing algorithm for audit logs and in the realization of association rule mining, the ways to improve
Apriori algorithm, so that it can log in the face of such high-dimensional data security than the original algorithm
Obtain greatly improved efficiency Platform: |
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Author:路粮户 |
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Description: 使用OPENCV库提供的接口，实现人脸的识别功能。
在一个人脸识别系统中，应用多种预处理技术对将要识别的图片进行标准化处理是极其重要的。多数人脸识别算法对光照条件十分敏感，所以假如在暗室训练，在明亮的房间就可能不会被识别出来等等。比如脸部也应当在图片的一个十分固定的位置（比如眼睛位置为相同的像素坐标），固定的大小，旋转角度，头发和装饰，表情（笑，怒等），光照方向（向左或向上等），这就是在进行人脸识别前，使用好的图片预处理过滤器十分重要的原因。你还应该做一些其它事情，比如去除脸部周围的多余像素（如用椭圆遮罩，只显示其内部的人脸区域而不是头发或图片背景，因为他们的变化多于脸部区域）。(Using the interface provided by the OPENCV library, the face recognition function is realized.
In a human face recognition system, it is very important to use a variety of preprocessing techniques to standardize the pictures to be recognized. Most face recognition algorithms are very sensitive to light conditions, so if they are trained in a dark room, they may not be recognized in a bright room. Such as the face should also be in a picture is a fixed position (such as eye position for the same pixel coordinates), fixed size, rotation angle, hair and decoration, expression (laughter, anger), light direction (left or upward), which is in face recognition, the use of good the image preprocessing filter very important reason. You should also do some other things, such as the removal of redundant pixels around the face (such as elliptical mask, showing only the face region rather than the internal hair or picture background, because they change more than the face area).) Platform: |
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Author:小女百合
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Description: The project work focuses on performing time series analysis and modeling on a time series data.
The data used in the project is recorded based on the amount of energy consumed by appliances in a household for 4.5 months.
The project applies all the analysis and preprocessing techniques for a time series data to make it prepared for the modelling phase.
Different time series linear models are used to find the best suitable model to predict the appliance energy consumed in a household. Platform: |
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Author:praba82 |
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Search - preprocessing techniques