data mining research papers 2012-112

data mining research papers 2012-112




Implementing A Data Mining Solution To Customer Segmentation For Decayable Products–A Case Study For A Textile Firm
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V Golmah, G Mirhashemi ABSTRACT In this paper is developed a model to cluster customers who need to production change continuously. Mere mathematical models to cluster customers lead to ignoring the environment factors in model. Therefore, for Adjusting model to reality, we should use

APPLICATION OF DATA MINING IN INTELLIGENT POWER CONSUMPTION
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N Jia, JS Wang, N Li ,cs.kent.edu ABSTRACT In this paper, the key technologies of data mining are firstly studied detailedly, and huge data of intelligent power consumption are transformed into valued knowledge which applies advanced data mining technology based on the huge data. It focuses on the

Automatic Building of an Ontology from a Corpus of Text Documents Using Data Mining Tools
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JI Toledo-Alvarado, A Guzmn-Arenas ,jart.ccadet.unam.mx ABSTRACT In this paper we show a procedure to build automatically an ontology from a corpus of text documents without external help such as dictionaries or thesauri. The method proposed finds relevant concepts in the form of multi-words in the corpus and non-

TOWARDS A MULTI-DIMENSIONAL MODELLING OF COMPLEX SOCIAL SYSTEMS USINGDATA MINING AND TYPE-2 NEURO-FUZZY SYSTEM:
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M Castanón–Puga, C Gaxiola–Pacheco, JR Castro ABSTRACT The purpose of this paper is, to describe a work-in process for application of distributed agency methodology to multi-dimensional preference model into a complex social system. This paper shows a study case focused on a modeling system for decision-

DATA MINING-HOW TO SELECT THE TOOLS FOR ANALYSTS IN A LARGE BANK
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Z Odrzygózdz, W Szczesnyb ,INFORMATION SYSTEMS IN ,isim.wzim.sggw.pl ABSTRACT. In large financial institutions specialized analytical cells are arranged in various business verticals. Their tasks involve different areas and aspects of the business, but combines them need access to advanced analytical tools. The choice of data mining (DM)

Apply On-Line Analytical Processing (OLAP) With Data Mining For Clinical Decision Support
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WQ Qwaider ,International Journal ABSTRACT Medicine is a new direction in his mission is to prevent, diagnose and medicate diseases using OLAP with data mining. Are analyzed clinical data on patient population and the wide range of performance management of health care, unfortunately, are not

KNOWLEDGE RETRIEVAL AND DATA MINING
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MB Tiple, S Dhande Wide Web has further exacerbated the user need for efficient mechanisms for information and knowledge location, selection and retrieval. Much work is required to address knowledge retrieval; for instance, users information needs could be better interpreted,

Investigation on GIS Attribute Data Mining with Statistical Inductive Learning
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A Lu, Z Lin, C Li ,hostmaster.icaci.org ABSTRACT With the development of modern science and technology, huge amounts of data have been stored in spatial databases. This huge amount of data challenges traditional data analysis methods. Spatial data mining, ie, discovery of interesting, implicit knowledge in

A Comparative Study on the performance of Soft Computing models in the domain of Data Mining
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DP Singh, JP Choudhury, M De ,iaest.org ABSTRACT. Soft Computing models play an important role in the field of recognition, classification, data prediction, etc in various application fields. Soft Computing models include fuzzy logic, neural, network, genetic algorithm, classification and clustering, etc.,

Statistical Data Mining Approach for Spiro metric Data Classification: Review Paper
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MTIV Sem, AMS GCOEA ABSTRACT Many people are affected by lung diseases. Respiratory diseases can be curable in early detection. Spirometry is valuable for diagnosing specific lung disorders as well as detecting lung disease at an early stage. Spirometry means the measuring of breath,

M-Learning Sentiment Analysis with Data Mining Techniques
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Abstract The development of mobile communication and hand-held device offers new and innovative pedagogical approach in the learning system. The M-learning approach offers an anytime, anywhere learning scenario to the learners through mobile devices. Sentiment

Data Mining of Dengue Infection Using Decision Tree
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D THITIPRAYOONWONGSE, P SURIYAPHOL ,Entropy ABSTRACT Dengue infection is an epidemic disease typically found in tropical region. Nowadays, the experts need to know the set of features on dengue infection in order to correctly classify the patients since these classes require different treatment. Our temporal

Applications of Data Mining to Diagnosis and Control of Manufacturing Processes
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M Perzyk, R Biernacki, A Kochanski, J Kozlowski In the majority of manufacturing companies large amounts of data are collected and stored, related to designs, products, equipment, materials, manufacturing processes etc. Utilization of that data for the improvement of product quality and lowering manufacturing costs

The role of Data Mining in Customer Relationship Management
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ABSTRACT This paper has said focus on the role of data mining in Customer Relationship Management. Developments in technology have made relationship promoting a reality these days. Technologies such as data warehousing, data mining, and promotion

A data mining approach for bill of materials for motor revision
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F Maiorana, A Mongioj ,fedcsis.org ABSTRACT Supply chain management is a core business process and is today considered the focus of competitive analysis. Business enterprises are data overloaded and, hence, using data mining techniques to transform the vast amount of data into meaningful

Data Mining and Intelligent Agents for Supporting Mass Customization in the Automotive Industry
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E Mavridou, D Tzovaras, E Bekiaris, P Spanidis ,cdn.intechweb.org Mass customisation has been said to be the new frontier in business competition (Pine, 1992). The objective of mass customisation is to deliver goods and services that meet

Study of influencing factors of academic performance of students: A data mining Approach
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V Ramesh, P Thenmozhi, K Ramar ABSTRACT The main concerns of any higher educational system is evaluating and enhancing the educational organization so as to improve the quality of their services and satisfy their customer s needs. This is an attempt to find suitable prediction techniques using data

Stream Data Mining and Anytime Algorithms
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Abstract. Sensors pervade all areas of personal, environmental and industrial domains, and nearly all applications in engineering, telecommunication, business, and life sciences produce tremendously increasing amounts of data. Though the availability of storage

Knowledge Discovery for Biodiversity: from Data Mining to Sign Management
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R Seppelt, AA Voinov, S Lange, D Bankamp ,vbrant.eu ABSTRACT Knowledge discovery from data in environmental sciences is becoming more and more important nowadays because of the deluge of information found in databases of digital ecosystems, coming altogether from institutions and amateurs. For example in biodiversity

Data Mining Using Artificial Neural Network Tree
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P Shinde ABSTRACT Proper diagnosis, classification and prediction of diabetes are essential due to the increasing prevalence of the disease and the increasing cost to control it. Data Mining can help researchers to find knowledge regarding this disease which will in turn help in finding

Data-Mining-Operatoren und Datenbanken
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A und Datenbanken, A Reuter ,ipvszope.informatik.uni-stuttgart.de ABSTRACT This paper focuses on options to couple data mining with databases and on data mining operators. At first a basic introduction on association rules and association rule mining algorithms is given. Then different ways to couple data mining algorithms and data

Knowledge Driven HealthCare Decision Support System using Distributed Data Mining
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PT Kavitha, T Sasipraba ,Indian Journal of Computer Science and Engineering ABSTRACT this paper focuses on a web based decision support system which is based on distributed data mining and designed for the healthcare industry. Innumerable Decision Support Systems are prevailing in the market to cater the needs of the various industries

A Data Mining Process for Metabolomics
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Objective Definition: Identify achievable, realistic, measurable, justifiable and adjustable objectives. 2. Data Pre-Processing: is driven by the process defined objectives, but depends on the quality of data and on pre-processing tasks performed during data acquisition. 3.

TECHNOLOGICAL ELEMENTS OF DATA MINING FOR KNOWLEDGE DISCOVERY
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AC Joshi ,reviewofresearch.net ABSTRACT Data mining refers to the process of finding interesting information in large repositories of data. The term data mining also refers to the step in the knowledge discovery process in which special algorithms are employed in hopes of identifying interesting

DATA MINING TECHNIQUES FOR IDENTIFYING THE CUSTOMER BEHAVIOUR REGARDING SURRENDER/SWITCHOVER OF LIFE INSURANCE PRODUCT
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G Vohra, B Bhushan ,mairec.org ABSTRACT Advancement of technology has a huge impact on service sector in India. The companies have large amount of data available to them. regarding customers, products and competitors this raw data can be converted into useful information, which in turn will help

CREATING REDUCED DATA SETS BY USING HORIZONTAL AGGREGATIONS IN SQL FORDATA MINING ANALYSIS
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RSK REDDY, SN RAO ,irnetexplore.ac.in ABSTRACT In a relational database, especially with normalized tables, a significant effort is required to prepare a summary data set that can be used as input for a data mining algorithm. Building a suitable data set for data mining purposes is a timeconsuming task.

Introduction to Data Mining Techniques
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R Jain ,iasri.res.in The last decade has experienced a revolution in information availability and exchange via the internet. In the same spirit, more and more businesses and organizations began to collect data related to their own operations. While the database technologists have been

A NEW INFORMATION AND DATA MINING TOOL FOR NORTH ATLANTIC ARGO DATA
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Conclusion We hope the NA-ARC website and API will provide complementary services to help users engage with Argo data in the North Atlan c. From a scien st perspec ve, we have tried to extend the classic engagement workflow of selec on/download of profile files with

A Survey on Data Mining Algorithms and Future Perspective
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NK Sharma, RC Jain, M Yadav ABSTRACT Data mining is a powerful and new method of analyzing data and finding out new patterns from large set of data. The objective of data mining is to pull out knowledge from a data set in an understandable format. Data mining is the process of collecting, extracting

High Dimensional Data Mining in Time Series by Reducing Dimensionality and Numerosity
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SU Kadam, DM Thakore ABSTRACT Time series data is sequence of well defined numerical data points in successive order, usually occurring in uniform intervals. In other words a time series is simply a sequence of numbers collected at regular intervals over a period of time. For example the

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