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Privacy Preserving Naïve Bayesian Classifier For Horizontal Partitioned Data

M. Sumana, K. S. Hareesha
2014 International Journal of Electronics and Electrical Engineering  
Data is distributed in various sites that need to be mined in a secure manner without revealing anything except the results of mining.  ...  However in the process, no information about either the data maintained in the sites or data obtained during computation is divulged.  ...  ACKNOWLEDGMENT The authors wish to thank M S Ramaiah Institute of Technology and Manipal Institute of Technology for providing us the required support in conducting our work.  ... 
doi:10.12720/ijeee.2.1.21-25 fatcat:rswskpe5hvbvlm5ncam6uqivu4

Page 336 of Austral Ecology Vol. 5, Issue 3 [page]

1980 Austral Ecology  
For the first part, numerical techniques were used to handle the large number of closely related morphological attributes.  ...  diagnostic computer programs, assisted in reducing numbers of attributes required to recover an acceptable classification.  ... 

A Comparison of Naive Bayes Methods, Logistic Regression and KNN for Predicting Healing of Covid-19 Patients in Indonesia

Manzilur Rahman Romadhon, Fachrul Kurniawan
2021 2021 3rd East Indonesia Conference on Computer and Information Technology (EIConCIT)  
In data mining, there are several methods that can be used to predict a patient's recovery rate by considering several variables. The variables used in this study were age and gender.  ...  Since it was declared a global pandemic by the World Health Organization (WHO), the number of cases of Covid-19 patients who died has continued to increase.  ...  President Jokowi has also expressed high support for research related to the handling of covid-19 [3] .  ... 
doi:10.1109/eiconcit50028.2021.9431845 fatcat:3qm76nqdmfcdrgbgjauxsomihy

Link Prediction for Authorship Association in Heterogeneous Network Using Streaming Classification

Harshal Singh, Divya Tomar, Sonali Agarwal
2016 International Journal of Grid and Distributed Computing  
The rule is simple analyze the data preprocess it, train the classifier according to desired classification rules and then get the classified form of data.  ...  But irrelevant features always reflect various impacts and issues on generation of a classifier and consequently the impact is sustained to further classification results.  ...  The dynamic classification algorithm handles data in the form of continuous streams which means it can handle almost infinite amount of data.  ... 
doi:10.14257/ijgdc.2016.9.4.13 fatcat:25vadwepezcyxpricipxsn3djq

Spatial analysis of hydrological and phytoplanktonic data of the Bay of Tunis. Multivariate cartography

R.B. HAMADOU, F. IBANEZ, S. SOUISSI, A.C. CATHELINEAU
2001 Mediterranean Marine Science  
These conditional probabilities measure the chance that each site has of belonging to a predefined group of sites.  ...  Then, associative analysis was used in order to produce an easy to interpret partition of sites.  ...  Acknowledgements Data collected and borrowed from: Dr Ons Daly-Yahia Kéfi and Dr Néjib Daly-Yahia; during the research performed in the execution of their thesis work.  ... 
doi:10.12681/mms.267 fatcat:uu5di27xtbcgngzq2vufq3p2x4

A Survey on Decision Tree Algorithms of Classification in Data Mining

2016 International Journal of Science and Research (IJSR)  
It is necessary to analyze this large amount of data and extract useful knowledge from it.  ...  As the computer technology and computer network technology are developing, the amount of data in information industry is getting higher and higher.  ...  It takes advantage of computers with up to eight cores in one or more CPUs (including Intel Hyper- Threading) to speed up the analysis.  ... 
doi:10.21275/v5i4.nov162954 fatcat:mkuvdvijtbavpck6taiyesg3ky

Handling uncertainty in extreme or unrepeatable hydrological processes?the need for an alternative paradigm

Jim Hall, Malcolm Anderson
2002 Hydrological Processes  
, more significantly, a model cannot be expected to make an exact prediction of a hydrological phenomenon.  ...  bridge to be estimated when there may be no instances of the event of interest, and even if there are, the population is hopelessly small in statistical terms?  ...  The conventional numerical approach to projecting uncertain data through numerical models is Monte Carlo simulation, which, when combined with interval analysis, can be used to handle a range of generalized  ... 
doi:10.1002/hyp.5026 fatcat:pb5huli45veyrnb4cjl6x7i5ua

Quantum Neural Network-Based Deep Learning System to Classify Physical Timeline Acceleration Data of Agricultural Workers

Shinji Kawakura, Ryosuke Shibasaki
2020 European Journal of Agriculture and Food Sciences  
the classification of physical workers' timeline datasets.  ...  These methods of analyzing digital data are expected to find practical applications and provide key suggestions for improving daily task efficiency.  ...  ACKNOWLEDGMENT We extend our heartfelt appreciation to the members of The University of Tokyo, who provided considerable support, feedback, and comments for our research and experiments, and the members  ... 
doi:10.24018/ejfood.2020.2.6.182 fatcat:3wpcjvi3wje67g7iqt6m25ibwm

Utility Independent Privacy Preserving Data Mining on Vertically Partitioned Data

E. Poovammal, M. Ponnavaikk
2009 Journal of Computer Science  
The classification accuracy of Adult data set obtained, with education as class variable was 40.08% and the same accuracy was obtained even after transformation.  ...  Approach: To address this issue, we developed a simple technique of transforming the categorical and numeric sensitive data using a mapping table and graded grouping technique, respectively.  ...  Classification was performed by decision tree (J48) method and zeroR method, considering education as classification variable. Parameters compared are shown in Table 2 .  ... 
doi:10.3844/jcssp.2009.666.673 fatcat:s27gsvdbrncsdhgvn7faxkcdwq

A CLUSTER ANALYSIS AND DECISION TREE HYBRID APPROACH IN DATA MINING TO DESCRIBING TAX AUDIT

Richa Dhiman, Sheveta Vashisht, Kapil Sharma
2005 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
In this research, we use clustering and classification methods to mine the data of tax and extract the information about tax audit by using hybrid algorithms K-MEANS, SOM and HAC algorithms from clustering  ...  Clustering method will use for make the clusters of similar groups to extract the easily features or properties and decision tree method will use for choose to decide the optimal decision to extract the  ...  The splitting ceases when the number of instances to be split is below a certain threshold. Error-based pruning is performed after the growing phase. C4.5 can handle numeric attributes.  ... 
doi:10.24297/ijct.v4i1c.3111 fatcat:mid4jjeomffwnbhvepxc56lyfm

Utility Independent Privacy Preserving Data Mining - Horizontally Partitioned Data

E Poovammal, M Ponnavaikko
2010 Data Science Journal  
The classification accuracy of Adult data set obtained, with education as class variable was 40.08% and the same accuracy was obtained even after transformation.  ...  Approach: To address this issue, we developed a simple technique of transforming the categorical and numeric sensitive data using a mapping table and graded grouping technique, respectively.  ...  Classification was performed by decision tree (J48) method and zeroR method, considering education as classification variable. Parameters compared are shown in Table 2 .  ... 
doi:10.2481/dsj.008-040 fatcat:svbllypoq5hbbahrv5hljism7u

Open source software for modelling using agro-environmental georeferenced data

Serge Guillaume, Brigitte Charnomordic, Bruno Tisseyre
2012 2012 IEEE International Conference on Fuzzy Systems  
A real world application is included, and some perspectives are given to meet the challenge of using soft computing for georeferenced data. 1  ...  In Agro-Environment, due to the increasing number of automatic sensors and devices, there is an emerging need to integrate georeferenced and temporal data into decision support tools, traditionally based  ...  Its numerical part allows to handle multiple membership in transition zones, while the symbolic one takes into account the granularity of the concepts associated to the fuzzy sets.  ... 
doi:10.1109/fuzz-ieee.2012.6251213 dblp:conf/fuzzIEEE/GuillaumeCT12 fatcat:i4zgv2kwmjhw5enevdxtzzb5du

Privacy Preserving Naive Bayes Classifier for Horizontally Partitioned Data Using Secure Division

Sumana M, Hareesha K S
2014 International journal of network security and its applications  
This trained model is propagated to sites involved in computation to assist classify a new tuple. We further analyze the security and complexity of the algorithm.  ...  In the process of sites collaborating to develop a model, it is extremely important to protect the privacy of data or intermediate results.  ...  Numeric Attributes For numeric attributes the mean value has to be securely computed.  ... 
doi:10.5121/ijnsa.2014.6602 fatcat:xiuohfuaendrjezezaokypwwha

Mining classifications from social-ecological databases

Scott Jensen, Miao Chen, Xiaozhong Liu, Beth Plale, David Leake
2012 Proceedings of the American Society for Information Science and Technology  
We have applied our methods to the classification of a relational database containing over 18 years of research on forest systems.  ...  This variability makes it difficult to determine the applicability of a particular data set for a new research question, hindering the reuse of data that has been often collected through extensive effort  ...  For the 23.15% of the questions that have a numeric response, the minimum, maximum, mean, and standard deviation are calculated across all of the values for each question across all site visits.  ... 
doi:10.1002/meet.14504901301 fatcat:2rxrxy5y4ff6rln5igb2revmxi

Development of a computer aided product-form design tool based on numerical definition scheme and neural network

Hung-Yuan CHEN, Yu-Ming CHANG
2014 Journal of Advanced Mechanical Design, Systems, and Manufacturing  
This study commences developing a computer aided product-form design (CAPD) tool based on numerical definition scheme (NDS) and back-propagation neural network (BPNN).  ...  The results of the evaluation trials are used to construct a BPNN model to predict the likely consumer response to any arbitrary product form.  ...  Table 1 . 1 Numerical variables used to create explicit definition of knife design Knife form decomposed descriptions Variables specification Variables Curve of blade back Coordinate data of 4 control  ... 
doi:10.1299/jamdsm.2014jamdsm0033 fatcat:tqig2tjp6zf4zk6ihlh6ra72la
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