data mining research papers 2012-111

data mining research papers 2012-111




Fuzzy Genetic Data Mining 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 with

Data Mining and It s Approaches towards Higher Education Solutions
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T Arjariya, S Kumar, R Shrivastava, D Varshney ,International Journal of Soft ABSTRACT The major objective of the research is advancement of knowledge and theoretical understanding of the relations among variables for the study and development using data mining in higher education system and its solution for Madhya Pradesh state. New

Mining Association Rules for Ordinal Data Classification using an Unimodal Model
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CR de S, J Costa, C Soares, P Azevedo, AM Jorge ,paginas.fe.up.pt  Page 2. Association rules mining is a very important and successful task in data mining.  Data Mining and Knowledge Discovery 4(2), 217–240 (2000) 4. Brin, S., Motwani, R., Ullman, JD, Tsur, S.: Dynamic itemset counting and im- plication rules for market basket data.

Association Rules for Quantitative Data Mining
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VDS Baghela, S Singh, A Gupta ,sciencepub.net ABSTRACT Detatiled elaborations are presented for the idea on two-step frequent itemsets Apriori Algorrithm of Association Rules. over the years, a variety of algorithms for finding frequent item sets in very large transaction databases have been developed. The

Data Mining of Medical Data: Opportunities and Challenges in Mining Association Rules
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DA Simovici ,cs.umb.edu ABSTRACT Association rules represent knowledge embedded in data sets as probabilistic implications and are intimately related to computation of frequent item sets. We survey applications of frequent item sets and association rules in medical practice in such areas

Detecting Botnet Using Data Mining
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A Nayyar ,anandnayyar.com ABSTRACT As with the increase in the number of spywares, malwares over Internet and Distributed Networks, Botnets are emerging as the most serious threat against Cybersecurity in one way or another as they act as basis for various Illegal activities like Denial of

Data Mining: An effective tool for yield estimation in the agricultural sector
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AA Raorane, RV Kulkarni ABSTRACT Agriculture is a business with risk. Crop production depends on climatic, geographical, biological, political and economic factors. Because of these factors there are some risks, which can be quantified when applied appropriate mathematical or statistical

Combining Data Mining and Ontology Engineering to enrich Ontologies and Linked Data
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Abstract. In this position paper, we claim that the need for time consuming data preparation and result interpretation tasks in knowledge discovery, as well as for costly expert consultation and consensus building activities required for ontology building can be

Distributed Data Mining in the Grid Environment
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P Alli, CB SelvaLakshmi, S Murali ABSTRACT Grid computing has emerged as an important new branch of distributed computing focused on large-scale resource sharing and high-performance orientation. In many applications, it is necessary to perform the analysis of very large data sets. The data are

Immersive Visual Data Mining Based on Super High Definition Image
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T Ogi, Y Tateyama, S Sato ,cdn.intechopen.com In recent years, a large amount of data has been generated and recorded in various fields according to the advances of computer simulation, sensor network, and database technologies. However, it is generally difficult to find valuable information or knowledge

A Data Mining Survey on Identifying the Factors that Influence Teachers View of the Romanian Educational System
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AA HAISAN, VP BRESFELEAN ABSTRACT The evaluation of different socio-professional categories and of educational systems has been in the center of various multidisciplinary studies. In the research literature we found few surveys conducted on the teachers quality of life. We also observed that

Results of Data Mining Technique Applied to a Home Enteral Nutrition Database
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P Pinto, ACL Campos, O Malafaia This chapter presents the results of data mining (ID3 and A PRIORI) techniques applied to a Health (nutrition) database that was originated from a knowledge management point of view. As participants of a Graduate Program in Surgery, we developed a knowledge

A NEW SIGHT INTO DATA MINING
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ES Singh, ES Padda, EJ Kaur ABSTRACT Databases today can range in size into the terabytes-more than 1,000,000,000,000 bytes of data. Within these masses of data lies hidden information of strategic importance. The newest answer is data mining. Innovative organizations

Data Mining with Semantic Features Represented as Vectors of Semantic Clusters
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M Taylor ,mitre.org ABSTRACT. Data mining with taxonomies merged with categorical data has been studied in the past but often limited to small taxonomies. Taxonomies are used to aggregate categorical data such that patterns induced from the data can be expressed at higher levels of

Improving DDM Performance By Combining Distributed Data Mining And Multi-Agent System
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S Biswas, SS Pattnaik, S Acharya ,International Journal of Soft Computing ABSTRACT Autonomous agents and multi agent systems (or agents) and data mining 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

Privacy Preserving Data mining with Reduced Communication overhead
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ABSTRACT In today s world privacy and security are more essential elements when data is shared. A fruitful direction for future data mining research will be the development of techniques that incorporate privacy concerns. Most of the methods use random

Using Data Mining for Predicting Relationships between Online Question Theme and Final Grade
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M Abdous, W He, CJ Yen ,ifets.info ABSTRACT As higher education diversifies its delivery modes, our ability to use the predictive and analytical power of educational data mining (EDM) to understand students learning experiences is a critical step forward. The adoption of EDM by higher education

Social Media Analytics: Data Mining Applied to Insurance Twitter Posts
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RC Mosley Jr ,Casualty Actuarial Society E-Forum, Winter 2012 ,casact.org ABSTRACT The use of social media has grown significantly in recent years. With the growth in its use, there has also been a substantial growth in the amount of information generated by users of social media. Insurers are making significant investments in social media, but

Adaptive Real Time Data Mining Methodology for Wireless Body Area Network Based Healthcare Applications
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DD Patil, VM Wadhai ,Advanced Computing: an International Journal ABSTRACT Since the population is growing, the need for high quality and efficient healthcare, both at home and in hospital, is becoming more important. This paper presents the innovative wireless sensor network based Mobile Real-time Health care Monitoring (

An Analysis of Data Mining Techniques for Customer Relationship Management
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APS Gautam, S Oliver, DB Singh ,ST. ANNE MARY EDUCATION SOCIETY ,annemary.org ABSTRACT Data mining technique is most frequently used in CRM field. There are many data mining algorithms and methods. These may be combined differently for different use. Customer Relationship Management is very important in the modern competitive society.

Suitability analysis of data mining tools and methods
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S Kovc ,is.muni.cz ABSTRACT The goal of this thesis is to provide theoretical introduction to the topic of data mining and suitability analysis of freely available software tools. First part of the thesis aims to describe data types, methods and algorithms that are used in data mining and machine

Video Data Mining based on Information Fusion for Tamper Detection
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ABSTRACT In this paper, we propose novel algorithmic models based on information fusion and feature transformation in crossmodal subspace for different types of residue features extracted from several intra-frame and inter-frame pixel sub-blocks in video sequences for

An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing
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Cloud Computing is a new computational paradigm which has attracted a lot of interest within the business and research community. Its objective is to integrate a wide amount of heterogeneous resources in an online way to provide services under demand to different

GPAC-APSO CLUSTERING USING MODIFIED S-TRANSFORM FOR DATA MINING
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M Nayak, S Dash ABSTRACT This paper presents a new approach for power signal time series data mining using S-transform based K-means clustering technique. Initially the power signal time series disturbance data are pre-processed through an advanced signal processing tool such as

Climatic Assessment Of Rajasthan s Region For Drought With Concern Of Data MiningTechniques
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ABSTRACT Meteorological data base is the part of data mining which focused on the hidden patterns available in the meteorological data. From this data we retrieve the information which can be transformed into usable knowledge. Now Weather is one of the

Music Data Mining
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T Kendrick ,michael.hahsler.net Page 1. Music Data Mining Tyler Kendrick CSE 8331 Spring 2012 Page 2. Outline ? Overview of Music Mining  Conclusion ? References Page 3. What is Music Mining? ? Using data mining techniques, including co- occurrence analysis, for the purpose of discovering

The study of personalized information recommendation system based on data mining
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C Ke, K Wende, L Sansi ,Proc. of SPIE Vol ,spiedigitallibrary.org ABSTRACT For the current Internet information access of contradictions and difficulties, the study on the basis of the data mining technique and recommender system, propose and implement a facing internet personalization information recommendation system based on

DATA STREAM MINING IN WIRELESS DEVICES
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Exploiting Data Mining Techniques For Improving the Efficiency of Time Series Data
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TD DIWAN, P CHOUKSEY, RS THAKUR, B LODHI ABSTRACT The research work in data mining has achieved a high attraction due to the importance of its applications This paper addresses some theoretical and practical aspects on Exploiting Data Mining Techniques for Improving the Efficiency of Time Series Data

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