首页期刊浏览 2024年11月29日星期五

登录注册

全文

有本地全文

14篇

出版年度

	2017	2篇
	2015	1篇
	2013	1篇
	2012	8篇
	2011	2篇

作者

	Amit Ganatra	13篇
	Amit Thakkar	4篇
	Avi Mistry	2篇
	Gaurang Panchal	2篇
	Kuldipsinh Jam	2篇

	Y P Kosta	2篇
	Arpita Shah	1篇
	Chetna Chand	1篇
	Chintan Gajjar	1篇
	Devyani Panchal	1篇
	Divyesh Patel	1篇
	Gordhan Jethava	1篇
	Hetal Bhavsar	1篇
	Mansi Vithalani	1篇
	Nikita Bhatt	1篇
	Niti Ashish Kumar Desai	1篇
	Niti Desai	1篇
	Parth Shah	1篇
	Prof. Amit Ganatra	1篇
	Prof. Neha Soni	1篇
	Purvi Prajapati	1篇
	Reema Patel	1篇

来源期刊

	International Journal of Soft Computing & Engineering	7篇
	International Journal of Innovative Research in Computer and Communication Engineering	2篇
	Cogent Engineering	1篇
	International Journal of Advanced Research In Computer Science and Software Engineering	1篇
	International Journal of Computer Science & Information Technology (IJCSIT)	1篇

	International Journal of Computer Technology and Applications	1篇
	International Journal on Soft Computing	1篇

学科主题

	计算技术、计算机技术	13篇
	人种学	1篇

语种

英文

14篇

国别/地区

	印度	13篇
	英国	1篇

检索条件:"( ( 高级检索(( ((AU:(("Amit Ganatra")))) )) ) )"

共 14 条记录

排序：全选导出：

1.Sequential Pattern Mining with Various Constraints: An Enhanced Approach

作　　者：Mansi Vithalani ;Gordhan Jethava ;Amit Ganatra

出　　处：International Journal of Computer Technology and Applications. 2012 ;3(3):1125-1131.

出版社：Technopark Publications

文章 ID：88532667

文章详细全文下载
2.Categorization of Several Clustering Algorithms from Different Perspective: A Review

作　　者：Prof. Neha Soni ;Prof. Amit Ganatra

出　　处：International Journal of Advanced Research In Computer Science and Software Engineering. 2012 ;2(8).

出版社：S.S. Mishra

文章 ID：87957958

文章详细全文下载
3.Determination of Over-Learning and Over-Fitting Problem in Back Propagation Neurl Network

作　　者：Gaurang Panchal ;Amit Ganatra ;Parth Shah 等

出　　处：International Journal on Soft Computing. 2011 ;2(2).

出版社：Academy & Industry Research Collaboration Center (AIRCC)

文章 ID：86838861

文章详细全文下载
4.In depth Coverage and Analysis of Information Fusion Technique (with Enhanced Algorithm for Feature Selection with Multiple Classifier System) for Data Mining

作　　者：Amit Ganatra ;Y P Kosta

出　　处：International Journal of Soft Computing & Engineering. 2012 ;1(6):66-73.

出版社：International Journal of Soft Computing & Engineering

文章 ID：86825249

文章详细全文下载
5.A Comparative Study of Training Algorithms for Supervised Machine Learning

作　　者：Hetal Bhavsar ;Amit Ganatra

出　　处：International Journal of Soft Computing & Engineering. 2012 ;2(4):74-81.

出版社：International Journal of Soft Computing & Engineering

文章 ID：86825641

文章详细全文下载
6.Comprehensive Study of Weighted Sequential Pattern Mining

作　　者：Niti Desai ;Amit Ganatra

出　　处：International Journal of Soft Computing & Engineering. 2013 ;3(2):185-188.

出版社：International Journal of Soft Computing & Engineering

文章 ID：86825981

文章详细全文下载
7.Sequential Pattern Mining: Survey and Current Research Challenges

作　　者：Chetna Chand ;Amit Thakkar ;Amit Ganatra

出　　处：International Journal of Soft Computing & Engineering. 2012 ;2(1):185-193.

出版社：International Journal of Soft Computing & Engineering

文章 ID：86825346

文章详细全文下载
8.A Survey and Current Research Challenges in Meta Learning Approaches based on Dataset Characteristics

作　　者：Nikita Bhatt ;Amit Thakkar ;Amit Ganatra

出　　处：International Journal of Soft Computing & Engineering. 2012 ;2(1):239-247.

出版社：International Journal of Soft Computing & Engineering

文章 ID：86825355

文章详细全文下载
9.A Survey and Current Research Challenges in Multi-Label Classification Methods

作　　者：Purvi Prajapati ;Amit Thakkar ;Amit Ganatra

出　　处：International Journal of Soft Computing & Engineering. 2012 ;2(1):248-252.

出版社：International Journal of Soft Computing & Engineering

文章 ID：86825356

文章详细全文下载
10.A Survey and Comparative Analysis of Data Mining Techniques for Network Intrusion Detection Systems

作　　者：Reema Patel ;Amit Thakkar ;Amit Ganatra

出　　处：International Journal of Soft Computing & Engineering. 2012 ;2(1):265-271.

出版社：International Journal of Soft Computing & Engineering

文章 ID：86825359

文章详细全文下载

1 2 下一页尾页

电话：010-85195300

E-mail：cassoa@cass.org.cn

地址：中国北京建国门内大街5号中国社会科学院1#楼

扫一扫关注微信

联系我们|关于我们|网站声明

国家哲学社会科学文献中心版权所有