Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها

A Framework for Improving Movement Detection by Implementing Data Mining on Big Data of Internet of Things

سومین کنگره بین المللی کامپیوتر، برق و مخابرات
Year: 1395
Publish place:
COI: ITCC03_169
Language: EnglishView: 704
This Paper With 6 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 6 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:


Mohammad Hajarian - Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Madjid Khalilian - Islamic Azad University,Karaj Branch, Karaj, Iran


Era of internet of things (IOT) and big data of it has begun, in this era data mining can playvery important role by transforming big data to useful information. In this paper author reviewssome data mining techniques that can be implemented on big data generated by sensors of IOTto detect human movement types. Additionally, one role player sensor in IOT calledaccelerometer and different types of data it generates was reviewed. Moreover, differenttechniques that was used by other researchers to detect human movement types using datamining on accelerometer data was critically reviewed. Based on these works and otherliterature reviews, author proposes a framework to discover human movements types withimproved usage of data mining on IOT. The proposed framework implements four type of datamining methods in addition to a ranking system to produce the results. Using proposedframework, type of human movements can be identified with respect to the time of the day inaddition to accelerometer data.


Paper COI Code

This Paper COI Code is ITCC03_169. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Hajarian, Mohammad and Khalilian, Madjid,1395,A Framework for Improving Movement Detection by Implementing Data Mining on Big Data of Internet of Things,سومین کنگره بین المللی کامپیوتر، برق و مخابرات,Mashhad,

Research Info Management

Certificate | Report | من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:

اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.


The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 9,307
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

مقالات پیشنهادی مرتبط

New Papers

New Researchs

Share this page

More information about COI

COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.