data mining research papers 2012 section 7
Event Detection in Videos Using Data Mining Techniques
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ABSTRACT Event detection is one of the essential tasks by which the performance of video content analysis and access becomes more efficient and effective. In this paper, the rare event detection issue in video event detection is addressed through the proposed data
Document Fraud Detection with the help of Data Mining and Secure Substitution Method with Frequency Analysis
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ABSTRACT Prevention of fraud and abuse has become a major concern of many organizations. The industry recognizes the problem and is just now starting to act. Although prevention is the best way to reduce frauds, fraudsters are adaptive and will usually find ways to
A Proactive Anti-Phishing Tool Using Fuzzy Logic and RIPPER Data Mining Classification Algorithm
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Novel Examination scenarios for U Learning using CharacteristicDiagrams S. Madhavi, Hye-jin Kim Prof. Chin-Chen Chang Chair Professor, IEEE and IET Fellows Department of Information Engineering and Computer Science Feng Chia University
Prevention and Detection of Financial Statement Fraud–An Implementation of Data MiningFramework
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ABSTRACT Every day, news of financial statement fraud is adversely affecting the economy worldwide. Considering the influence of the loss incurred due to fraud, effective measures and methods should be employed for prevention and detection of financial statement
Mining ranking models from dynamic network data
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In recent years, improvement in ubiquitous technologies and sensor networks have motivated the application of data mining techniques to network organized data. Network data describe entities represented by nodes, which may be connected with (related to)
Spatiotemporal Data Mining: Issues, Tasks And Applications
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ABSTRACT Spatiotemporal data usually contain the states of an object, an event or a position in space over a period of time. Vast amount of spatiotemporal data can be found in several application fields such as traffic management, environment monitoring, and
Application of Data-Mining and FMEA Techniques in Maintenance System to Improve Equipment Performance
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ABSTRACT This study utilized the CMMS database that was reserved maintenance activities work order. Data-mining was applied to discover of knowledge that was hidden in the CMMS database, such as important repair activities and critical equipments. The
Clustering as a Data Mining Technique in Health Hazards of High levels of Fluoride in Potable Water
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ABSTRACT This article explores data mining techniques in health care. In particular, it discusses data mining and its application in areas where people are affected severely by using the underground drinking water which consist of high levels of fluoride in Krishnagiri
An Advance Testimony for Weblog Prefetching Data Mining
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ABSTRACT Web pre-fetching is mechanism by which web server/clients can pre-fetch web pages well in advance before a request is actually received by a server or send by a client. The idea is, give a request, how accurately can you predict the next consequent request.
Improving performance of distributed data mining (DDM) with multi-agent system
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ABSTRACT Autonomous agents and multi-agent systems (or agents) and knowledge discovery (or data mining) are two of the most active areas in information technology. Ongoing research has revealed a number of intrinsic challenges and problems facing each area,
Usage of data mining techniques on marketing research data
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ABSTRACT This contribution contains problems of marketing research data classification by means of data mining algorithms. Three basic methods are described, classification with the aid of Multi-layer Perceptron neural network with Back-propagation algorithm,
Educational data mining
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Background Historically, EDM is a relatively new scientific discipline. Although researchers have been recording and analyzing data from educational software for a long time, only recently has EDM been established as a field in its own right, through conferences (
Data Mining with Linguistic Thresholds
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ABSTRACT Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. In the past, the minimum supports and minimum confidences were set at numerical values. Linguistic minimum support and
Data mining for information literacy
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This paper argues for extending the scope of applying data mining towards making it a means to help people better understand, reflect and influence the information and information-producing and-consuming activities that they are surrounded by in today s
Classification: An Analysis Technique in Data Mining for Health Hazards of High Levels of Fluoride in Potable Water
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ABSTRACT Data Mining is the process of extracting information from large data sets through using algorithms and Techniques drawn from the field of Statistics, Machine Learning and Data Base Management Systems. Traditional data analysis methods often involve manual
An Efficient Approach to Enhance Classifier and Cluster Ensembles Using Genetic algorithms for Mining Drifting Data Streams
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in high-speed streams of information. It raises new problems for the data mining community in terms of how to mine continuous high- speed data items that you can only have one look. The increasing focus of applications that
Searching for patterns in clinical data q Choosing the right data mining approach
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Abstract. Clinical parameters are normally collected for all classes of patients, including the ones in critical care. Focusing on the objective of identifying interesting patterns related to physiological variability, we briefly report on our investigation in searching for useful
DAME: A Web Oriented Infrastructure for Scientific Data Mining and Exploration
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Objectives:• Innovative and original software for fundamental scientific research• High performance DataComputing Center for multidisciplinary applications• Grid infrastructure and middleware INFNGRID LCG/gLite• Compatibility with EGEE middleware•
Interactive Investigation Support System Design with Data Mining Extension
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The Government and non Government investigation organizations (eg CID, CBI etc) are equipped with huge framework of databases constantly being operated and analyzed by high-end professional officials for updating and retrieving facts which assists these
Diagnosis of Coronary Artery Disease Using Data Mining Techniques Based on Symptoms and ECG Features
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ABSTRACT The most common heart disease is Coronary artery disease (CAD). CAD is one of the main causes of heart attacks and deaths across the globe. Early diagnosis of this disease is therefore, of great importance. A large number of methods have thus far been
The Adaptability of Conventional Data Mining Algorithms through Intelligent Mobile Agents in Modern Distributed Systems
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ABSTRACT Intelligent mobile agents are today accepted as powerful tools for data mining in a distributed environment. The use of data mining algorithms further beefs up the intelligence in software agents. Knowledge discovery and data mining algorithms are applied to
Classi?cation-based Data Mining Approach for Quality Control in Wine Production
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ABSTRACT Modeling the complex human taste is an important focus in wine industries. The main purpose of this study was to predict wine quality based on physicochemical data. This study was also conducted to identify outlier or anomaly in sample wine set in order to
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data mining research papers 2012 section 5
data mining research papers 2012 section 8 CSE PROJECTS