Journal of advanced database management & systems (vol1, issue3) by STM Journals Publication

eISSN: 2393-8730 ISO: 9001Certified

STM Journals Empowering knowledge

Free Online Registration

Energy /

/ Instrumentation /Science

GLOBAL READERSHIP STATISTICS

conducted

Over 500 Indian and International Subscribers. 30,000 Top Researchers, Scientists, Authors and Editors All Over the World Associated. Editorial/ Reviewer Board Members : 1000+. 1,00,000+ Visitors to STM Website From 140+ Countries Quarterly. 10,000 + Downloads from STM Website.

Advanced Database Management & Systems September - December 2014

(JoADMS)

STM Journals invites the papers from the National Conferences, International Conferences, Seminars conducted by Colleges, Universities, Research Organizations etc. for Conference Proceedings and Special Issue. 타Special Issues come in Online and Print versions. 타STM Journals offers schemes to publish such issues on payment and gratis (online) basis as well.

To g e t m o r e i n f o r m a t i o n : stmconferences.com

STM JOURNALS Scientific

Technical

Medical

www.stmjournals.com

STM Publication(s) STM Publication, a strong initiative by Consortium E-Learning Network Private ltd.(Estd. 2006) was launched in the year 2010 under the support and guidance by our esteemed Editorial and Advisory board members from renowned institutes. Objectives of STM Publication(s): ? Scientific, Technical and Medical research promotions. ? Publication of genuine Research/Review, Short Articles and Case Studies through proper review

process. ? Publishing Special Issues on Conferences. ? Preparing online platform for other print Journals. ? Empowering the libraries with online and print Journals in Scientific, Technical and Medical

domains. ? Publishing and distribution of books on various subjects which mainly falls in the category of

Nanotechnology, Scientific and technical writing & Environment, Health and Safety. Salient Features: ? A bouquet of 100+ Journals that fall under Science, Technical & Medical domains. ? Employs Open Journals System (OJS) A Journal Management & Publishing System. ? The first and one of the fastest growing publication website in India as well as in abroad for its quality

and coverage. ? Rapid online submission and publication of papers, soon after their formal acceptance/ finalization. ? Facilitates linking with the other authors or professionals. ? Worldwide circulation and visibility.

Journal of Advanced Database Management & Systems eISSN: 2393-8730 Focus and Scope Covers Systems Analysis and Design ? Semantic Web and Ontologyâ&#x20AC;&#x2122;s ? Knowledge Modeling and Processing ? Sensor data Management ? Temporal, Spatial and High dimensional databases ? Database System and applications ? Data warehousing and data mining, OLAP ? Journal of Advanced Database Management & Systems is published (frequency: three times a year) in India by STM Journals (division of Consortium e-Learning Network Private Ltd. Pvt.) The views expressed in the articles do not necessarily reflect of the Publisher. The publisher does not endorse the quality or value of the advertised/sponsored products described therein. Please consult full prescribing information before issuing a prescription for any products mentioned in this publication. No part of this publication may be reproduced, stored in retrieval system or transmitted in any from without written permission of the publisher. To cite any of the material contained in this Journal, in English or translation, please use the full English reference at the beginning of each article. To reuse any of the material, please contact STM Journals (info@stmjournals.com)

STM Journals (division of Consortium e-Learning Network Private Ltd. ) having its Marketing office located at Office No. 4, First Floor, CSC pocket E Market, Mayur Vihar Phase II, New Delhi-110091, India is the Publisher of Journal. Statements and opinions expressed in the Journal reflect the views of the author(s) and are not the opinion of STM Journals unless so stated. Subscription Information and Order: Cost of Journal: ? National Subscription: Rs. 3750/- per Journal (includes 3 print issues), Single Issue copy purchase Rs.1500/copy ? International Subscription: ? Online Only- $99, Print Only-$149 (includes 3 print issues) ? Online + Print-$199 (includes 3 print issues + online access of published back volumes )

To purchase print compilation of back issues please send your query at info@stmjournals.com Subscription must be prepaid. Rates outside the India includes speed delivery charges. Prices subject to change without notice. Mode of Payment: At par cheque, Demand draft, and RTGS (payment to be made in favor of Consortium E-Learning Network. Pvt. ltd., payable at Delhi/New Delhi. Online Access Policy A). For Authors: In order to provide maximum citation and wide publicity to the authors work, STM Journals also have Open Access Policy, authors who would like to get their work open access can opt for Optional Open Access publication at nominal cost as follows India, SARC and African Countries: INR 2500 or 100 USD including single hard copy of Author's Journal. Other Countries: USD 200 including single hard copy of Author's Journal. B.) For Subscribers: ? Online access will be activated within 72 hours of receipt of the payment (working days), subject to receipt of

correct information on user details/Static IP address of the subscriber. ? The access will be blocked: ? If the user requests for the same and furnishes valid reasons for blocking. ? Due to technical issue. ? Misuse of the access rights as per the access policy.

Advertising and Commercial Reprint Inquiries: STM Journals with wide circulation and visibility offer an excellent media for showcasing/promotion of your products/services and the events-namely, Conferences, Symposia/Seminars etc. These journals have very high potential to deliver the message across the targeted audience regularly with each published issue. The advertisements on bulk subscriptions, gift subscriptions or reprint purchases for distribution etc. are also very welcome. Lost Issue Claims: Please note the following when applying for lost or missing issues: ? Claims for print copies lost will be honored only after 45 days of the dispatch date and before publication of the

next issue as per the frequency. ? Tracking id for the speed post will be provided to all our subscribers and the claims for the missing Journals will

be entertained only with the proofs which will be verified at both the ends. ? Claims filed due to insufficient (or no notice) of change of address will not be honored. ? Change of Address of Dispatch should be intimated to STM Journals at least 2 months prior to the dispatch

schedule as per the frequency by mentioning subscriber id and the subscription id. ? Refund requests will not be entertained.

Legal Disputes All the legal disputes are subjected to Delhi Jurisdiction only. If you have any questions, please contact the Publication Management Team: info@stmjournals.com; Tel : +91 0120-4781211.

Publication Management Team Chairman Mr. Puneet Mehrotra Managing Director STM Journals, Consortium eLearning Network Pvt. Ltd.(CELNET) Noida ,India

Group Managing Editor Dr. Archana Mehrotra Director CELNET, Delhi, India

Internal Members Puneet Pandeya Manager

Monika Malhotra Assistant Manager

Associate Editors Gargi Asha Jha Nupur Anand Shikha Suman

Assistant Editors Priyanka Aswal Aditya Sanyal Deepika Bhadauria Sona Chahal Himani Pandey

External Members

Dr. Bimlesh Lochab Industrial Tribology Machine Dynamics & Maintenance Engineering Centre (ITMMEC) Indian Institute of Technology Delhi, India.

Dr. Rajiv Prakash School of Materials Science and Technology, Institute of Technology, Banaras Hindu University, Varanasi, India.

Prof. S. Ramaprabhu Alternative Energy Technology Laboratory, Department of Physics, Indian Institute of Technology, Chennai, India.

Dr. Rakesh Kumar Assistant Professor, Department of Applied Chemistry, BIT Mesra, Patna, India.

STM Journal (s) Advisory Board

Dr. Baldev Raj

Prof. Bankim Chandra Ray

Chairman, National Institute of Technology Puducherry, India. Former Director, Indira Gandhi Centre for Atomic Research, India.

Professor and Head, Department of Metallurgical and Materials Engineering National Institute of Technology, Rourkela, India.

Dr. Hardev Singh Virk Professor Emeritus, Eternal University, Baru Sahib, India.

Dr. Baskar Kaliyamoorthy Associate Professor, Department of Civil Engineering National Institute of Technology Trichy, India.

Prof. D. N. Rao Professor, Department of Biochemistry, AIIMS, New Delhi, India.

Prof. Jugal Kishore Professor, Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.

Dr. Ashish Runthala

Dr. Pankaj Poddar

Lecturer, Biological Sciences Group, Birla Institute of Technology & Science, Pilani Rajasthan, India.

Scientist, Physical & Materials Chemistry Division, National Chemical Laboratory, Pune, India.

Dr. Nandini Chatterjee Singh Associate Professor, National Brain Research Centre, Manesar, India.

STM Journal (s) Advisory Board

Dr. Priyavrat Thareja

Dr. Rakesh Kumar

Head, Materials and Metallurgical Engineering Department, PEC University of Technology, Chandigarh, India.

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

Dr. Shankargouda Patil

Dr. Shrikant Balkisan Dhoot

Asst. Prof., Department of Oral Pathology, KLE Society's Institute of Dental Sciences, Bangalore, India.

Head Research & Development, Nurture Earth R&D Pvt Ltd MIT Campus, Beed bypass road, Aurangabad, India.

Prof. Subash Chandra Mishra

Prof. Sundara Ramaprabhu

Professor, Metallurgical & Materials Engineering Department, NIT, Rourkela, India.

Professor, Department of Physics Indian Institute of Technology Madras, India.

Prof. Yuwaraj Marotrao Ghugal Professor and Head Department, Govt. College of Engineering Station Road, Osmanpura, Aurangabad, India.

Editorial Board

Niusvel Acosta Mendoza Researcher at Advanced Technologies Application Center (CENATAV) Cuba.

José María Luna Ariza Department of Computer Sciences and Numerical Analysis Campus Universitario de Rabanales. University of Córdoba, Spain.

Dr. H.S. Behera Asstistant Professor Dept. of Computer Science & Engineering Veer Surendra Sai University of Technology,Odisha, India.

Yahui chang Associate Professor Department of Computer Science and Engineering, National Taiwan Ocean University, Taiwan.

Dr. S. Nickolas Associate professor at National institute of technology tiruchirappalli. India.

Shaoxu Song Assistant Professor School of Software, Tsinghua University Beijing, China.

Sebastián Ventura Associate Professor Department of Computer Science and Numerical Analysis. University of Córdoba. Spain.

Jenq Haur Wang Assistant ProfessorDepartment of Computer Science and Information Engineering National Taipei University of Technology Taiwan.

Director's Desk

STM JOURNALS

I take the privilege to present the print version for the Volume 1 Issue (3) 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

Journal of Advanced Database Management & Systems

Contents

1. Integrity Protection of Text Document Data from Unauthorized Modifications Leena Goyal, Mukesh Vijay, Prateek Diwan

2. An Overview on Time Series Data Clustering Rajesh D. Wagh, Shaila P. Kharde

3. Bayesian Inference to Time Series Data Mining D. Venkatesan, R. Karnaboopathy

4. Theoretic Study of Image Registration Techniques:A Survey Khushbu R. Bhut, Yaganesh M. Makwana

5. Boosting Decision Tree Algorithm for Weather Prediction Divya Chauhan, Jawahar Thakur

Journal of Advanced Database Management & Systems ISSN: 2393-8730 (online) Volume 1, Issue 3 www.stmjournals.com

Integrity Protection of Text Document Data from Unauthorized Modifications Leena Goyal*, Mukesh Vijay, Prateek Diwan Department of Computer Science, Vivekananda Institute of Technology, Rajasthan, India Abstract Digital watermarking provides authentication, validation and copyright protection for multimedia contents over the internet. Text is the most widely used means of communication in addition to image, audio and video. So it needs to be protected. Text watermarking techniques that have been developed in the past protects the text from illegal copying, imitation, and prevents copyright violations. In this paper, we have proposed an algorithm that ensures the integrity and confidentiality of the document. In this technique, watermark is created on the basis of the contents of the document and embeds it without changing the contents of the document and also encrypts the text to provide confidentiality. To authenticate and prove the integrity of the document the watermark can be easily extracted and verified for tampering.

Keywords: confidentiality, integrity, encryption, shuffling, substitution

Journal of Advanced Database Management & Systems ISSN: 2393-8730 (online) Volume 1, Issue 3 www.stmjournals.com

An Overview on Time Series Data Clustering Rajesh D. Wagh1*, Shaila P. Kharde2 1

Computer Science and Engineering, SYCET/Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (M.S.), India 2 Electronics and Telecommunication, SYCET/Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (M.S.), India

Abstract This paper gives an overview of the time series clustering, which is an important topic nowadays. Time series data has importance because of its applications, such as financial data processing such as Stock Exchange, network monitoring, web click-stream analysis, sensor data mining, marketing research, and anomaly detection. Therefore, such data are an important issue in the data mining clustering. Time series data are a special type of data set and are large to process. This paper overviews different methodology for some time series data and provides uniqueness and limitation of previous research on various application domains.

Keywords: clustering, time series data, stock exchange, sensor data mining, anomaly detection

Journal of Advanced Database Management & Systems ISSN: 2393-8730 (online) Volume 1, Issue 3 www.stmjournals.com

Bayesian Inference to Time Series Data Mining D. Venkatesan*, R. Karnaboopathy Department of Statistics, Annamalai University, Annamalai Nagar, India Abstract The time series data mining (TSDM) framework is a fundamental contribution to the field of time series analysis and data mining in the recent past. Methods based on the TSDM framework are able to successfully characterize and predict complex, nonperiodic, irregular and chaotic time series. The TSDM methods overcome limitations including stationarity and linearity requirements of traditional time series analysis techniques by adopting data mining concepts for analyzing time series. This paper discusses the Bayesian Inference to data mining in time series through a case study on the IBM stock prices data.

Keywords: Time series model, autoregressive model, TSDM, variance change, posterior distribution.

Journal of Advanced Database Management & Systems ISSN: 2393-8730 (online) Volume 1, Issue 3 www.stmjournals.com

Theoretic Study of Image Registration Techniques:A Survey Khushbu R. Bhut*, Yaganesh M. Makwana ECD, AITS, Rajkot, Gujarat, India

Abstract Image registration is the methodology of adjusting two or more images of the same scene taken from different viewpoints, at different times, and from different sensors. Image registration adjusts two picturesgeometrically, i.e., sense picture and target picture. There are diverse methodologies of image registration and these methodologies are arranged as indicated by their tendency that is area based and feature based. These methodologies are likewise ordered as per the four straightforward steps of image registration processâ&#x20AC;&#x201D;feature detection, feature matching, function mapping and transformation and resampling. The purpose of this paper is to portray the image registration procedures based on its comparison.

Keywords: image mapping function, MI

registration,

feature

detection,

feature

matching,

Journal of Advanced Database Management & Systems ISSN: 2393-8730 (online) Volume 1, Issue 3 www.stmjournals.com

Boosting Decision Tree Algorithm for Weather Prediction Divya Chauhan*, Jawahar Thakur Department of Computer Science, Himachal Pradesh University, Shimla, Himachal Pradesh, India

Abstract Data mining is the computer assisted process which predicts behaviors and future trends by digging through and analyzing enormous sets of data and then extracting the meaningful data. It is used to answer questions that traditionally were very time consuming to resolve. This feature makes it useful to predict meteorological data that is weather prediction. Weather prediction is a necessary application in meteorology and has been one of the most scientifically and technologically challenging problems across the world in the last century. Predicting the weather is essential to help people preparing for the best and the worst of the climate. Accurately predicting the weather has been one of the most challenging problems around the world. Many weather predictions like thunderstorm prediction, rainfall prediction, predicting wind conditions, and cloud burst are major challenges for atmospheric research. The data for this work is authentic and has been collected from India Meteorological Department for city Shimla (India) from the period of January 2010 to December 2013. This paper compared three decision tree algorithms named C4.5, CART, LMT without boosting and with boosting their performance by using boosting algorithm AdaBoost. AdaBoost was run with three different iterations. It has been observed that with every increase in iteration, the accuracy of decision tree algorithm is improved. It has been also observed that LMT shows the best improvement among the decision tree algorithms after boosting. Therefore, boosted LMT is used to predict the weather of Shimla. The prediction accuracy of boosted LMT is nearly 100% when taken yearly and comparatively better than un-boosted LMT when the dataset is taken separately for each month.

Keywords: data mining, decision trees, boosting, prediction, C4.5, CART, LMT, AdaBoost