STM JOURNALSScientific Technical Medical

Advanced Database Management & Systems

(JoADMS)Jan - April 2014

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Journal of Advanced Database Management & Systems

Focus and Scope Covers

† Systems Analysis and Design

† Semantic Web and Ontology’s

† Knowledge Modeling and Processing

† Sensor data Management

† Temporal, Spatial and High dimensional databases

† Database System and applications

† Data warehousing and data mining, OLAP

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Himani Garg

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Publication Management Team

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Dr. Bimlesh Lochab

Industrial Tribology Machine Dynamics & Maintenance

Engineering Centre (ITMMEC)

Indian Institute of Technology Delhi, India.

Prof. S. Ramaprabhu

Alternative Energy Technology Laboratory,

Department of Physics,

Indian Institute of Technology, Chennai, India.

Dr. Rajiv Prakash

School of Materials Science and Technology,

Institute of Technology, Banaras Hindu University,

Varanasi, India.

Dr. Rakesh Kumar

Assistant Professor, Department of

Applied Chemistry, BIT Mesra,

Patna, India.

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Gargi Asha Jha

Nupur Anand

Priyanka Aswal

Sona Chahal

STM Journal (s) Advisory Board

Dr. Ashish RunthalaLecturer, Biological Sciences Group,

Birla Institute of Technology & Science, Pilani Rajasthan, India.

Dr. Baldev RajDistinguished Scientist & Director,

Indira Gandhi Centre for Atomic Research

(ICGAR)Kalpakkam, India.

Dr. Baskar KaliyamoorthyAssociate Professor, Department

of Civil Engineering National Institute of Technology Trichy, India.

Prof. Bankim Chandra RayProfessor and Head, Department of

Metallurgical and Materials Engineering National Institute of Technology,

Rourkela, India.

Prof.D. N. Rao Professor, Department of Biochemistry,

AIIMS, New Delhi, India.

Prof. Jugal KishoreProfessor, Department of Community

Medicine, Maulana Azad Medical College, New Delhi, India.

Dr. Pankaj PoddarScientist, Physical & Materials ChemistryDivision, National Chemical Laboratory,

Pune, India.

Dr. Hardev Singh VirkProfessor Emeritus, Eternal

University, Baru Sahib, India.

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National Brain Research Centre, Manesar, India.

Dr. Shankargouda PatilAsst. Prof., Department of Oral

Pathology, KLE Society's Institute of Dental Sciences, Bangalore, India.

Prof. Subash Chandra MishraProfessor, Metallurgical & Materials

Engineering Department, NIT, Rourkela, India.

Prof. Yuwaraj Marotrao GhugalProfessor and Head Department, Govt.College of Engineering Station Road,

Osmanpura, Aurangabad, India.

Prof. Sundara RamaprabhuProfessor, Department of Physics

Indian Institute of Technology Madras, India.

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Nurture Earth R&D Pvt LtdMIT Campus, Beed bypass road,

Aurangabad, India.

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Department of Applied Chemistry, BIT Mesra, Patna, India.

Dr. Priyavrat TharejaHead, Materials and Metallurgical

Engineering department, PEC University of Technology,

Chandigarh, India.

STM Journal (s) Advisory Board

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Niusvel Acosta Mendoza Researcher at Advanced Technologies

Application Center (CENATAV)

Cuba.

Dr. H.S. BeheraAsstistant Professor Dept. of Computer

Science & EngineeringVeer Surendra Sai University of

Technology,Odisha, India.

Dr. S. Nickolas Associate professor at National institute

of technology tiruchirappalli.India.

Shaoxu SongAssistant Professor

School of Software, Tsinghua UniversityBeijing, China.

Yahui changAssociate Professor

Department of Computer Science and Engineering, National Taiwan

Ocean University, Taiwan.

José María Luna ArizaDepartment of Computer Sciences and

Numerical Analysis Campus Universitario de Rabanales. University

of Córdoba, Spain.

Sebastián VenturaAssociate Professor Department

of Computer Science and Numerical Analysis. University of Córdoba.

Spain.

Jenq Haur WangAssistant ProfessorDepartment of

Computer Science and Information Engineering National Taipei University

of Technology Taiwan.

I take the privilege to present the print version for the Volume 1 Issue (1) of Journal of Advanced

Database Management & Systems. The intension of JoADMS is to create an atmosphere that

stimulates creativeness, research and growth in the area of advanced database.

The development and growth of the mankind is the consequence of brilliant Research done by

eminent Scientists and Engineers in every field. JoADMS provides an outlet for Research findings

and reviews in areas of advanced database found to be relevant for National and International recent

developments & research initiative.

The aim and scope of the Journal is to provide an academic medium and an important reference for

the advancement and dissemination of Research results that support high level learning, teaching and

research in the domain of advanced database.

Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for

their continued support and invaluable contributions and suggestions in the form of authoring write

ups/ reviewing and providing constructive comments for the advancement of the journals. With

regards to their due continuous support and co-operation, we have been able to publish quality

Research/Reviews findings for our customers base.

I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra

Director

STM Journals

Director's Desk

STM JOURNALS

1. Concept of Semantic Web and Its Indexing Mechanism Ela Kumar 1

2. An Implimentation on Extraction and Detection of Leak Data using Fake Tupples Gaurav Funage, Dipali H. Patil, Narendra Bhendekar, Sachin Goveas, Prashant Kadam 3

3. Design and Implementation of Security System for Medical Test Data MiningP.Y. Shende, Pranoti D. Mude 9

4. Identification of Thyroid Disease Severity using Fuzzy C-MeansG. Jaya Suma, M. Nymisha, Sk. Teenaaz, S. Neelima, K. Gouri Shankar 13

ContentsJournal of Advanced Database Management & Systems

JoADMS (2013) © STM Journals 2014. All Rights Reserved

Journal of Advanced Database Management & Systems

Volume 1, Issue 1

www.stmjournals.com

Concept of Semantic Web and Its Indexing Mechanism

Ela Kumar* Dean School of Information and Communication Technology, Gautam Buddha University,

Noida, UP, India

Abstract The present paper discusses various aspects of Semantic web. The semantic web is a tool

of retrieving information for web on the basis of semantics conveyed by keywords. The semantic web has an improved system of information storage where the meaning and

associated words of a keywords are also stored. The indexing mechanism of for retrieval

of information is improved than normal keyword based search. In this paper the indexing mechanism of semantic web is also discussed.

Keywords: Semantic web, synonymy, metadata, indexing mechanism, automatic

knowledge sharing, search engine.

JoADMS (2014)© STM Journals 2014. All Rights Reserved

Journal of Advanced Database Management & Systems

Volume 1, Issue 1

www.stmjournals.com

An Implimentation on Extraction and Detection of Leak

Data using Fake Tupples

Gaurav Funage*, Dipali H. Patil, Narendra Bhendekar, Sachin Goveas, Prashant Kadam

JSPM’s Rajarshi Shahu College of Engineering, Tathwade, Pune-411033, India

Abstract Modern business activity contains the email exchange, sometimes email leakage is

occurred in the company and it is widespread problem in the industry particularly in IT industry .so we study the following problem as data distributor (owner) has given

sensitive data to trusted third parties called as (agents) and if that data leaked by trusted

agents, particularly the leaked data is find on website also or can find out by using legal ways , we want to find out who has leaked that sensitive data. in early days for secure

these sensitive data (information) Access Control Mechanism and Watermarking

Technique were used, in Watermarking Technique unique code is embedded within data but it is not so useful for sensitive data. For keeping sensitive information of the company

and finding out to this trusted third agent we implement this technique. This paper contains the results of Implementation of data leakage and detection of data using fake

tupples.To find solution on this issue we proposed a system to find the Data leaker or

identify the third party who leaks the data by using the fake Tupples.

Keywords: Data leakage, agents, fake tupples, distributor, access control

mechanism, watermarking technique

JoADMS (2014) © STM Journals 2014. All Rights Reserved

Journal of Advanced Database Management & Systems

Volume 1, Issue 1

www.stmjournals.com

Design and Implementation of Security System for

Medical Test Data Mining

P.Y. Shende1*, Pranoti D. Mude

2

1Electronics & Telecommunication Dept., DMIETR, Wardha, India

2Computer Engineering Dept., KIT, Wardha, India

Abstract The growth of data mining process began when company data was first stored on computers, unrelenting with improvements in data access. Data mining deals with

bulky database which may hold insightful information. Medical test security system is a

major factor in our society especially this system is used for special purpose like

inspection of many healthy man powers for a specific organization. In this project

software is implement which is useful for detection of healthy man power to avoid the wrong way entry in Army, Navy and Air force i.e., Government and Non Government

sector. In this system first of all candidate registration should be done in this

registration candidate firstly give their home address and age. The identification of candidate with figure print saved in server computer along with generated barcode

where medical tests will be performed.

Keywords: MTSS, thumb, data mining (DM), knowledge discovery in database (KDD),

data link library (DLL)

JoADMS (2014)© STM Journals 2014. All Rights Reserved

Journal of Advanced Database Management & Systems Volume 1, Issue 1

www.stmjournals.com

Identification of Thyroid Disease Severity using

Fuzzy C-Means

G. Jaya Suma1*, M. Nymisha

2, Sk. Teenaaz

2, S. Neelima

2, K. Gouri Shankar

2

1Department of Computer Science and Engineering, JNTU Kakinada, University College of Engineering

Vizianagaram, India 2Department of information technology, JNTU Kakinada, University College of Engineering

Vizianagaram, India

Abstract

Clustering is a primary data description method in data mining which group’s most

similar data. Data clustering is one of the important problems in the fields of data

mining, bio-informatics and pattern recognition. Various algorithms are used to solve this problem. This paper presents the performance analysis of k-means clustering

algorithm and compares it with fuzzy C- Means (FCM) algorithm on Thyroid disease data set. We also find the accuracy of both the algorithms on Thyroid data set. Fuzzy

clustering is useful to mine multi-dimensional and complex data sets, where the

members have fuzzy or partial relations. Among the various techniques developed so far, fuzzy-C-Means (FCM) algorithm is the most popular one, where a partial

membership is assigned to a piece of data with each of the pre-defined cluster centers. Moreover, in FCM, the cluster centers are virtual, that is, they are chosen at random

and thus might be out of the data set. With in some iteration the cluster centers and

membership values of the data points are updated. The FCM employs fuzzy portioning such that a point can belong to more than one group with different membership grades

between 0 and 1. Using this membership we are going to determine the severity of

thyroid disease in a person. Keywords: K-means, fuzzy C-means clustering, Euclidean distance, Manhattan distance,

sigmoid membership, t-norms