data mining research papers 2012-108

data mining research papers 2012-108




The Data Mining Triclustering algorithm for mining Real Valued Datasets-A Review
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ABSTRACT Cluster analysis has been widely used in several disciplines, such as statistics, software engineering, biology, psychology and other social sciences, in order to identify natural groups in large amounts of data. These data sets are constantly becoming larger,

ANN: A Novel Technique in Data Mining
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A Ali, N Kumar, S Chouhan ABSTRACT Data mining is a multidisciplinary field, can be described as the nontrivial extraction of implicit, previously unknown, and potentially useful information from dataand the science of extracting useful information from large data sets or databases. We present

Mining Social Data with UCL s SocialSTORM Platform
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R Wood, I Zheludev, P Treleaven ,elrond.informatik.tu-freiberg.de  Keywords: Social Science, Web Mining, Mining text and semi-structured data, Mining large scale data, Data mining software 1 Introduction Social media is becoming a rich new area of research for scientific, sociological and commercial purposes.

Data Mining in Bioinformatics Day 8: Graph Mining for Chemoinformatics and Drug Discovery
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CA Azencott ,agbs.kyb.tuebingen.mpg.de Page 1. Data Mining in Bioinformatics Day 8: Graph Mining for Chemoinformatics  Page 13. Structure-Based Approaches Feature Vectors based on Patterns Classical machine learning and data mining techniques can be applied to these vectorial feature representations.

THE ROLE AND USE OF DATA MINING TECHNIQUES FOR INTRUSION DETECTION SYSTEMS
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A Sharma ,mairec.org ABSTRACT Information access through Internet provides intruders various ways of attacking a computer system. More and more organizations have become vulnerable due to intrusion of cyber attackers which compromise the security of their network . Establishment of a

Mining Educational Data to Analyze the Student Motivation Behavior
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K Kularbphettong, C Tongsiri ABSTRACT The purpose of this research aims to discover the knowledge for analysis student motivation behavior on e-Learning based on Data Mining Techniques, in case of the Information Technology for Communication and Learning Course at Suan Sunandha Rajabhat

Data Mining As Tools For Extraction And Retrieval From Databases
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ABSTRACT Data mining concept is increasingly being applied to huge databases consisting of highly structured information so that new knowledge can be discovered. In business entities and institution, the vast amount of information that exists in repositories of text documents

Identifying Buying Preferences of Customers in Real Estate Industry Using Data MiningTechniques
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A Gupta, G Dubey ,cpmr.org.in ABSTRACT With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is a process of inferring knowledge from such

DATA MINING TREND IN PAST, CURRENT AND FUTURE
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S Goele, N Chanana ABSTRACT Data and Information or Knowledge has a significant role on human activities. Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and summarizing it into useful information. Due to the

Using Data Mining to Investigate the Behavior of Video Rental Customers
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TC Hsia, AJ Shie Living standards have been steadily rising in Taiwan, and indoor recreational activities are now receiving much attention. As a consequence, the market for video rentals has been flourishing in recent years. Renting videotapes, VCDs, and DVDs, to watch at home has

FEATURE SPECIFIC CRIMINAL MAPPING USING DATA MINING TECHNIQUES AND GENERALIZED GAUSSIUN MIXTURE MODEL
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ABSTRACT Lot of research is projected to map the criminal with that of crime and it is observed that there is still a huge increase in the crime rate due to the gap between the optimal usage of technologies and investigation. This has given scope for the development of new

Data mining Feature Clustering Algorithm in Text Classification
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A Yaganteeswarudu, JU Mahesh, S Lalitha ,irnetexplore.ac.in Abstract Feature clustering is a powerful method to reduce the dimensionality of feature vectors for text classification. In this paper, we propose a fuzzy similarity-based self- constructing algorithm for feature clustering. The words in the feature vector of a document

Escalation of Crime Trouble Diminishment via Crime Data Mining Stimulation
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AL Joshi ABSTRACT There had been an enormous increase in the crime in the recent past. Crime prevention is a primary concern of police as they perform their central role of protecting the lives and property of citizens. However, information and technology overload hinders the

APPLYING DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENT
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KV Rodpysh, A Aghai, M Majdi ABSTRACT In this article we are going to define the overall customer relationship management (CRM) and Data mining, Factors between the techniques and software to  data mining in CRM and the interaction between two concepts. For this purpose and after

OPTIMAL DATA MINING METHOD FOR PREDICTING BREAST CANCER SURVIVABILITY
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KMIN WANG, B MAKOND, W WU, KJ WANG, YS LIN ,ismeip.org ABSTRACT. Breast cancer is one of leading causes of death. This study predicts 5-year survivability of breast cancer patients by two data mining techniques. The data set consisted of information about patients who have cancer diagnosis collected by SEER. In this study,

Children Shoes Suggestion System Using Data Mining
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P Sudta, K Kanchan, C Chantrapornchai ABSTRACT We present a prototype web application for children shoes suggestion. We are interested in attributes of foot and shoes that can comfort the children s feet. The key attributes are types of shoes, size, and brands. For the feet, there are width, length,

Data Optimization in Speech Recognition using Data Mining Concepts and ANN
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N Kaur, SK Singh ABSTRACT In this paper we propose to recognize the speech based on optimum feature and independent of the language. Speech recognition refers to the ability to listen spoken words and identify various sounds present in it and recognize of some known language. Speaker

Data Mining Based Database Intrusion Detection System: A Survey
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IJ Rajput, D Shrivastava ABSTRACT Significant security problem for database system is unfriendly encroach a user or software. Intruder is one of the most publicized threats to security. Database is a most valuable asset of any organization or companies. This paper presents the feature of data

OF FACTORS EFFECTING ENTREPRENEURSHIP TENDENCY OF STUDENTS OF VOCATIONAL HIGH SCHOOL THROUGH METHODS OF DATA MINING
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A Erbasi, S Unuvar, O Unuvar, Y Uzun ,ajbms.org ABSTRACT The aim of this study is to determine factors that effect entrepreneurship of students of vocational high school, through data mining method. 1510 students of vocational high school have been surveyed with face-to-face interview method and decision tree has

Mining Tutors Interesting Areas to Develop Researched Papers Using a Proposed EducationalData Mining System
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RJ Ismail ABSTRACT Educational Data Mining (EDM) is the process of converting raw data from educational systems to useful information that can be used by educational software developers, students, teachers, parents, and other educational researchers. One of the

Role of Association Rule Mining in Numerical Data Analysis
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S Jagtap, BG Kodge, GN Shinde, PM Devshette  Association rules are a simple but very useful form of data mining that describe the probabilistic co-occurrence of certain events within a database [7]. They were originally designed to analyze market-basket data, in which the likelihood of items being purchased together within

SCBA: A New Sensitivity Based Anonymity Method for Privacy Preserving in Medical Data Mining
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BV Abad, SA Kinariwala ,depression ABSTRACT For the data holder, such as a medical institution, public health agency, share person, record data in such a way that the released information remain practically useful, but the identity of the individuals can be also be anonymized. Here the privacy preserving in

Educational Data Mining as a Trend of Data Mining in Educational System
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ABSTRACT Educational data mining is an emerging trend, concerned with developing methods for exploring the huge data that come from the educational system. This data is used to derive the knowledge which is useful in decision making. EDM methods are useful

Multilevel Association Rules in Data Mining
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A Kajal, I Kajal ,Indian Journal of Computer Science and Engineering Data is the basic building block of any organization. Be it an individual or an organization of any type, it is surrounded by huge flow of quantitative or qualitative data. Data are the patterns which are used to develop or enhance information or knowledge. All the

The Research on Applying Data Mining to Telecom Churn Management
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S Jin, Y Meng, C Fan, F Peng, Q Chen loosening of the telecommunications industry control and new technologies applied, the wireless telecommunications market is saturated and fierce competition is increasing.

Research on Data mining using Feed-forward Neural Networks
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The continuous development of database technology and the extensive applications of database management system, the data volume stored in database increases rapidly and in the large amounts of data much important information is hidden. If the information can be

A Data Mining Approach To Gen Dynamic Behavioral Process
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MAM Fard, HR Ranjbar, A Davani, MS Zadeh ,International Journal ,jscse.com ABSTRACT. Biology systems theory and cell biology have enjoyed a long relationship, which, in the context of systems biology, has received renewed interest in recent years by computer science as bioinformatics models. It has often been noted that computer simulation, by

INCREASING THE PROFITABILITY OF THE OPERATION OF HEATING FURNACES USING MODELS AND DATA MINING SYSTEMS
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M STRNAVOV, M HEGER, I PICKA, J Franz ,metal2012.com ABSTRACT Material heating in heating furnaces is often accompanied by drop-outs in furnace setting, which results in final parameters destabilization of a heated material. It concerns preferably surface temperature shifts and degree of temperature adjustment based on the

HIGH UTILITY MINING ALGORITHM FOR PREPROCESSED WEB DATA
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S Mallipeddi  mining, which can be viewed as a mixed term of web miningutility mining, becomes much more meaningful with the introduction of the emerging concepts of two-phase algorithmon-shelf utility, already proved to be very effective under their respective fields of data mining.

Toward a Data Mining Process for Metabolomics
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Metabolomics experiments produce a substantial amounts with hundreds of variables, which must be analysed in detail to reveal the knowledge they conceal. In recent years, data mining has achieved noticeable success in a variety of applications making use of

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