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data mining research papers 2012-116

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data mining research papers 2012-116




Criteria Formation of Effective High-School Graduates Employment Based upon Data MiningMethods
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I Bolodurina, Y Akhmayzyanova ABSTRACT. This work is devoted to the investigation of the main factors influencing high-school graduates employment. This investigation is conducted using Data Mining methods. Two approaches to the identification of hidden patterns in data are employed. The first method

Fast Locality Sensitive Hashing Algorithm For Approximate Nearest Neighbor Search: A Practical Data Mining Approach
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A large amount of satellite images with high dimensionality and complexity is being collected, processed and stored periodically by the National Geophysical Data Center (NGDC) in collaboration with National Oceanic and Atmospheric Administration (NOAA).

Classification Algorithms for Data Mining: A Survey
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ABSTRACT Classification is a model finding process that is used for portioning the data into different classes according to some constrains. In other words we can say that classification is process of generalizing the data according to different instances. Several major kinds of

The fuzzy data mining generalized association rules for quantitative values
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TP Hong, KY Lin ,140.127.198.19 ABSTRACT Due to the increasing use of very large databases and data warehouses, mining useful information and helpful knowledge from transactions is evolving into an important research area. Most conventional data-mining algorithms identify the relationships among

Application of Data Mining Techniques for Analyzing Violent Criminal Behavior by Simulation Model
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KZ Hussain, M Durairaj, GRJ Farzana ABSTRACT Crime is a major issue where the top priority has given by our government. Criminology is an area that focuses the scientific study of crime and criminal behavior and law enforcement and is a process that aims to identify crime characteristics. It is one of the

Phishing Attack Detection, Classification and Proactive Prevention using Fuzzy Logic and Data Mining Algorithm
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RJ Ferolin, CU Kang ,20 ABSTRACT. This paper presents a design for removing phishing sites or phishing pages that are hosted probably without the knowledge of the website owner or host server. Initially the system assesses and classifies phishing emails using Fuzzy Logic and the RIPPER Data

MineTool-M 2: An Algorithm for Data Mining of 2D Simulation Data
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TB Sipes, H Karimabadi ,elrond.informatik.tu-freiberg.de ABSTRACT Extraction of knowledge from massive and complex data sets generated from peta-scale simulations poses a major obstacle to scientific progress. We propose a new approach to solving this problem by utilizing an innovative feature extraction technique in

Application of Data mining algorithms for Customer Classification
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N Patil, R Lathi ,dypimca.org (Information Technology), human-beings are entering into the information era, in which we are in dire need of some new tools and technologies to deal with such mass data. Data mining is the useful tool to discovering the knowledge from large data. For this we require

ORANGE: DATA MINING FRUITFUL AND FUN
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is a general-purpose machine learning and data mining tool. It features a multilayer architecture suitable for different kinds of users, from inexperienced data mining beginners to programmers who prefer to access the tool

Advanced Data Mining Methods for Environmental Crisis Prediction
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Abstract. In this paper we explore how the data-intensive processes can be applied to benefit the experts who produce daily weather predictions, as well as rarely needed, but crucial and often time-critical risk assessments for emerging environmentally significant

Survey of Data Mining Techniques on Crime Data
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R Krishnamurthy, JS Kumar ,iirpublications.com ABSTRACT There has been an enormous increase in the crime is the recent past. Crime deterrence has become an upheaval task. In this paper, we give comprehensive surveys of efficient and effective methods/techniques on data mining for crime data analysis. It is

A generalized Framework of Privacy Preservation in Distributed Data mining for Unstructured Data Environment
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ABSTRACT The management of unstructured data is recognized as one of the major unsolved problems in the information industry and data mining paradigm. Unstructured data in computerized information that either does not have a data model and there are not easily

Efficient Clustering Technique for Information Retrieval in Data Mining
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ABSTRACT In the emerging new wave of applications where people are the ultimate target of text clustering methods, cluster labels are intended to be read and comprehended by humans. The primary objective of a clustering method should be to focus on providing

Applications of Data Mining Techniques in Life Insurance
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AB Devale, RV Kulkarni ,International Journal ABSTRACT Knowledge discovery in financial organization have been built and operated mainly to support decision making using knowledge as strategic factor. In this paper, we investigate the use of various data mining techniques for knowledge discovery in

Novel Class Detection in Concept-Drifting Data Stream Mining Employing Decision Tree
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 Most existing data mining classifiers can not detect and classify the novel class instances in real-time data stream mining problems like weather conditions, economical changes, astronomical, and intrusion detection etc, untill the classification models are trained with the labeled

Mining Unstructured Data from Web Using Soft Computing
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MSA Deshpande, PR Deshmukh ,International Journal  For a given user s query the search engine searches in the local database and very quickly displays the results. The huge amount of information is retrieved using data mining tools. Classification, Clustering and Association tools etc. are used for data mining technique.

PREDICTION OF BREAST CANCER USING DATA MINING
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ABSTRACT Breast Cancer prediction and diagnosis are two medical applications pose a great challenge to the researchers. Today, about one in eight women over their lifetime have been affected by breast cancer in the United States. Recently the occurrence rate of breast

Issues in Data Mining and Information Retrieval
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ABSTRACT Data mining, as we use the term, is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. For the purposes of this book, we assume that the goal of data mining is to allow a corporation to improve its

Research on Data Mining Using Neural Networks
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K Amarendra, KV Lakshmi, KV Ramani ABSTRACT The application of neural networks in the data mining has become wider. Data mining is the search for relationships and global patterns that exist in large databases but arehidden among the vast amount of data, such as a relationship between patient data

Image-Based Campus Positioning System With Data Mining Techniques
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Abstract One of the major data mining applications is mining image data. We want to implement a data mining model to specifically identifying photos taken on Columbia main campus and thus determining the location it is taken as well as its view direction. This

Use of Data Mining Techniques for the Evaluation of Student Performance: A Case Study
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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

Assistive Design and Production in Computer Games: Parametric Systems, Data Mining, Visual Analytic
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In this report, we will explain our ongoing work developing assistive user research tools for design and production of a social game named HARDWARE. This game is under development by Blackbird Interactive, social gaming company, with a summer launch date

Fuzzy Genetic Data Mining for Customer Buying Patterns using K-Means Clustering
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ABSTRACT Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Most conventional data-mining algorithms identify the relationships among transactions using binary values. Transactions

A Survey of Data Mining Techniques for Quality Improvement in Process Industries
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ABSTRACT This paper presents a survey of quality improvement of various products in process industries and present how data mining can be used in manufacturing for improving the quality, maintenance, control and production of a product.

A Review of Application of Data Mining in Earthquake Prediction
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GV Otari, RV Kulkarni ABSTRACT A natural disaster is the effect of a natural hazard (eg, flood, tornado, hurricane, volcanic eruption, earthquake, heatwave, or landslide). Earthquakes, landslides, tsunamis and volcanos are complex physical phenomenon that leads to financial, environmental or

Data mining Application to Design a System for Performance Improvisation of Students in Their Academic Studies
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ABSTRACT This paper presents a system that can be used for a performance improvisation of students in their academic studies. The system accumulates a vast amount of information which is very valuable for analyzing the student s performance and could create a gold

Data Mining Method for Energy System Aplications
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R Selbas, A Sencan, EU Kksille ,cdn.intechopen.com In recent years, data storage capacity of computers increased as well as their speeds. With these advances in the technology, millions of data can be recorded in computer memories. These data can be used for a better service to customers by companies. For example,

Towards Judicial Data Mining: Arguing for Adoption in the Judicial System
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The Judicial System collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Decision support system can now use advanced technologies such as On-line analytical processing and data mining to deliver

IMPLEMENTATION OF DATA MINING IN BANKING SECTOR-A FEASIBILITY STUDY
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V Bhambri ,mairec.org ABSTRACT Banking sector around the globe is using information technology for their day to day operations and banks have realized this fact that their biggest asset is the knowledge and not the financial resources. Banks have started using the latest techniques of data

Data Mining on Moving Object Trajectories
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ABSTRACT Trajectory means a path followed by a moving vehicles or object. Spatio temporal clustering is a process of grouping objects based on their spatial or temporal similarity. It is also known as Trajectory or mobility data. Existing work have mainly focused on moving

CHALLENGES IN HANDLING UNCERTAINTY IN DATA MINING RESEARCH
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A Kajal, I Kajal ABSTRACT The digital information is growing so rapidly in organizations, due to which it s very tedious process to examine some useful information. For this, firstly we classify the explosive growth of information in some pattern, rules etc. which represent useful data. The main

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data mining research papers 2012-114

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