data mining research papers 2012-103
A Framework for Mobility Pattern Mining and Privacy-Aware Querying of Trajectory Data
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dimension benchmark framework that includes: (i) the aforementioned privacy-aware trajectory
query engine and (ii) a progressive analysis framework, which, apart from anonymization methods
for data publishing, includes various well-known mobility data mining techniques to
XML BASED INFORMATION MANAGEMENT IN HEALTHCARE, DATA MINING AND DISTRIBUTED SYSTEMS
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S udesh Kumar, D Sinwar ,International Journal of Information , 2012
ABSTRACT: XML Based Information Management is an emerging standard which has gain
its popularity because of its various features like transfer of data from one system to another
without having a common environment between them and also due to elimination of its
Interactive Pattern Mining on Hidden Data: A Sampling-based Solution
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M Bhuiyan, S Mukhopadhyay, M Al Hasan ,2012 ,cs.iupui.edu
Page 1. Interactive Pattern Mining on Hidden Data: A Sampling-based Solution *
Mansurul Bhuiyan, Snehasis Mukhopadhyay, and Mohammad Al Hasan Dept. of
Computer and Info. Science, Indiana University–Purdue University
Estimation of Evolutionary Optimization Algorithm for Association Rule using Spatial Data Mining
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NN Saranya, M Hemalatha ,International Journal of , 2012
ABSTRACT The innovative process for spatial data is more risk when compared to relational
data. This can be functional for the efficiency and effectiveness of algorithms as well as the
difficulty of possible patterns that can be establish in a spatial database. To optimize the
DATA MINING WITH REGRESSION TECHNIQUE
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N SINGH, RAMS RAW ,2012
Abstract-Extracting patterns and models of interest from large databases is attracting much
attention in a variety of disciplines. Knowledge discovery in databases (KDD) and data
mining are areas of common interest to researchers in machine learning, pattern
SOFTWARE AGENTS PARADIGM IN AUTOMATED DATA MINING FOR BETTER VISUALIZATION USING INTELLIGENT AGENTS
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R JAYABRABU, V SARAVANAN ,Journal of Theoretical , 2012
ABSTRACT Data Mining techniques plays a vital role like extraction of required knowledge,
finding useful information to make strategic decision in a novel way which in term
understandable by domain experts. Users like expert user, novice user and connoisseur
THE DISEASE OF ALZHEIMER (AD) WITH SNP BIOMARKERS AND CLINICAL DATA BASED DECISION SUPPORT SYSTEM USING DATA MINING
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N Baykal ,2012 ,etd.lib.metu.edu.tr
AND CLINICAL DATA BASED DECISION SUPPORT SYSTEM USING DATA MINING
CLASSIFICATION APPROACHES BIOMARKERS AND CLINICAL DATA BASED DECISION
SUPPORT SYSTEM USING DATA MINING CLASSIFICATION APPROACHES
Intrumine: mining intruders in untrustworthy data of cyber-physical systems
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readings are collected and transmitted by various gateways, such as the aircraft bridges in Figure
1. There are many state-of-the- art works on gateway design, sensor deployment and message
transmission [9, 3]. Since the main theme of this study is on data mining, we assume
Modeling spatial uncertainties in geospatial data fusion and mining
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B Kovalerchuk, L Perlovsky ,Proceedings of , 2012 ,spiedigitallibrary.org
[5] Giannnotti, F. and Pedreschi, D., (eds) [Mobility, Data Mining, and Privacy: Geographic SPIE
6966, 69660W (2008). [13] Kovalerchuk, B. and Schwing, J., (Eds) [Visual and Spatial Analysis:
Advances in Data Mining, Reasoning, and Problem Solving], Springer (2005).
Results of application data mining algorithms to (lean) six sigma methodology
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A Trnka ,International Journal of Engineering, 2012 ,annals.fih.upt.ro
ABSTRACT: This paper describes results of our research. This research is focused to (Lean)
Six Sigma methodology and Data Mining algorithms. We tried to implement several Data
Mining algorithms and methods to (Lean) Six Sigma methodology, especially to DMAIC
Mining Association Rules From Empirical Data in the Domain of Education
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D Radosav, E Brtka, V Brtka ,With Emphasis on the Integration , 2012 ,journal.univagora.ro
uns. ac. rs, brtka@ sbb. rs, vbrtka@ tfzr. uns. ac. rs Abstract: The data mining techniques and
their applications are widely recognized as powerful tools in various domains. In the domain
of education there is a variety of data of various types that are collected.
Information disclosure by data mining approach
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N Azad, V Ranjbar, D Khani, ST Moosavi ,Indian Journal of Science and , 2012
Abstract Undoubtedly, one of the most important factors in the profitable securities stock
market investment is timely and regulated disclosure of companies’ information. Several
standards affect transparency and disclosure of information but understanding and effect
Mobile activity recognition using ubiquitous data stream mining
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. IEEE (2010) 4. Gama, J., Sebastiao, R., Rodrigues, PP: Issues in evaluation
of stream learning algorithms. In: Proceedings of the 15th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining, pp. 329–338.
Machine learning and data mining: An introductory overview
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Abstract: Machine learning and data mining keep gaining importance in terms of providing
auxiliary methods and tools to other fields. They are strongly related to each other, in the
sense that they address similar tasks and problems settings. They are also very broad with
Mining Wellness and Performance Data to Identify At-Risk First-Year Engineering Students
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A du Plessis, HL Botha ,Lecture Notes in Engineering and Computer , 2012
A further objective of this study was to utilise SU’s management information systems
(MIS) as an additional and common sense data mining source to identify students
at risk. The following three data mining techniques were
A COMPARATIVE ASSESSMENT OF SUPERVISED DATA MINING TECHNIQUES FOR FRAUD PREVENTION
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KK Sherly ,TIST. Int. J. Sci. Tech. Res, 2012 ,tochjournal.in
Abstract-The extensive growth of internet and the vast financial possibilities opening up,
more and more systems are subject to attack by intruders. In a competitive environment
fraud become a business critical problem. It is very important to prevent unauthorized
Improved Counter Based Algorithms for Frequent Pairs Mining in Transactional Data Streams
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K Kutzkov ,Machine Learning and Knowledge Discovery in , 2012 ,Springer
Note that the generation of the frequent pairs is considered to be the most time consuming phase
in Apriori [1]. As noted by Park et al. [28] the initial candidate set generation, especially for the
large 2-itemsets, is the key issue to improve the performance of data mining.
Developing Metacognitive Learning Environment using Data Mining Technique and Scaffolding
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P Sae-Joo, C Sanrach ,European , 2012 ,europeanjournalofsocialsciences.
Abstract In this study we investigate the relative ability of metacognition, data mining
technique, and scaffolding to design and develop as the metacognitive learning
environment to enhance learning efficiency. The metacognitive knowledge is classified by
A Method for Preserving Secret Information in the Data Mining through Cryptography
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KM Dlfonse ,International Journal, 2012 ,ijaiem.org
ABSTRACT Data mining will extract vital information from massive knowledge collections–
however generally these collections square measure split among numerous parties. Real
knowledge is just too valuable and therefore troublesome to get. thus we have a tendency
Forecasting Portfolio Investment Using Data Mining
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ABSTRACT Following the exponential and unprecedented rate at which commercial
databases are growing, it becomes imperative to mine the data to provide guidance to
investors for selecting portfolios which will afford them good income and enable them
LONETSSOM Platform: Enabling Distributed Processing, Managing and Mining of Biological Data through Fusion of Logical Network and Web Technologies in
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NK Raja, K Arulandam ,International , 2012
Similar datasets derived from epidemiological cohorts that use higher density arrays, will a
mass data of several gigabytes. This datasets are organized by SOA in data mining for
unprecedented data towards research oriented data for biomedical process.
Study on Software Process Metrics using Data Mining Tool-A Rough Set Theory Approach
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V Jeyabalaraja, TE Prabakaran ,International Journal of , 2012
ABSTRACT Software industries are optimizing their resources to obtain the best quality
software from minimum cost through identifying the potential resource for the assignments.
The process matrices’ are supported to increase the efficiency of the project in the
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