2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)最新文献_第3页

A Binomial Heap Extractor for Automatic Keyword Extraction 用于自动关键字提取的二项堆提取器

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684154

D. V. Paul, J. Pawar

引用次数: 1

A hybrid technique of Mamdani and Sugeno based fuzzy interference system approach 基于Mamdani和Sugeno的模糊干涉系统混合方法

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684131

M. Devi, M. Soranamageswari

引用次数: 6

An efficient illumination invariant human face recognition using new preprocessing approach 基于新的预处理方法的高效光照不变人脸识别

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684143

U. K. Jaliya, J M Rathod

引用次数: 1

Vritthi - a theoretical framework for IT recruitment based on machine learning techniques applied over Twitter, LinkedIn, SPOJ and GitHub profiles Vritthi -一个基于机器学习技术的IT招聘理论框架，应用于Twitter, LinkedIn, SPOJ和GitHub配置文件

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684163

Animesh Giri, A. Ravikumar, Sneha R. Mote, Rahul Bharadwaj

引用次数: 8

Non linear analysis of epileptic EEG 癫痫脑电图的非线性分析

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684174

J. E. Jacob, V. Vijith, K. Gopakumar

引用次数: 4

A semantic graph based approach on interest extraction from user generated texts in social media 基于语义图的社交媒体用户生成文本兴趣提取方法

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684118

Lijo M. Jose, K. Rahamathulla

{"title":"A semantic graph based approach on interest extraction from user generated texts in social media","authors":"Lijo M. Jose, K. Rahamathulla","doi":"10.1109/SAPIENCE.2016.7684118","DOIUrl":"https://doi.org/10.1109/SAPIENCE.2016.7684118","url":null,"abstract":"Micro-blogs and social networking websites have become a platform for self-expression. They reflect the thoughts, ideas and opinions of people on various subjects. Analyzing these texts to find the main topics mentioned in them is a fine method for targeted marketing. Targeted marketing involves identifying potential clients who might be interested in particular products or services and marketing them to these clients. Examples of targeted marketing include recommender systems and targeted advertising. Identifying the personal interests of users is a major factor that determines the quality of such systems. Commonly used techniques monitor online behavior of users like purchase histories, product views etc. or explicitly collect the user's interests through surveys and rating systems. However there have been only a few attempts to use user generated texts as a source for analyzing personal interests and preferences. This paper proposes a semantic graph based method to identify the likes and interests of users by analyzing their twitter feeds. It also put forward the design for a recommender system that can work along with the proposed interest extraction method. This method is purely based on the texts that a user leaves in a particular social network website or a micro blog. Unlike the other conventional methods there is no need to track the user activity on the Internet or conduct exclusive surveys and ratings to collect explicit ideas from the user.","PeriodicalId":340137,"journal":{"name":"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127298064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

An effective middleware based architecture for discovering web services on Mobile devices 用于在移动设备上发现web服务的有效的基于中间件的体系结构

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684141

B. Revathi, J. Sathya

引用次数: 0

COBBS: A Multicloud Architecture for better business solutions cobs:用于更好的业务解决方案的多云架构

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684148

K. Baby, Anupriya Vysala

引用次数: 1

MANET protocols: Extended ECDSR protocol for solving stale route problem and overhearing MANET协议:扩展的ECDSR协议，用于解决陈旧路由问题和监听

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684168

Hridya V. Devaraj, A. Chandran, S. Babu

{"title":"MANET protocols: Extended ECDSR protocol for solving stale route problem and overhearing","authors":"Hridya V. Devaraj, A. Chandran, S. Babu","doi":"10.1109/SAPIENCE.2016.7684168","DOIUrl":"https://doi.org/10.1109/SAPIENCE.2016.7684168","url":null,"abstract":"MANET is collection of wireless nodes which are connected to each other, but all nodes are independent. They can communicate each other via intermediate nodes or directly. In order to increase the lifetime of the network, routing must be energy efficient. Routing protocols like DSR, ECDSR, AODV, TORA, DSDV, EEAODR, and EPAR are proposed for MANET. Design of energy efficient routing protocol is the key issue for mobile ad hoc networks. One difficulty with routing protocols in MANET is to know which protocol performs best in which situation. Since protocols exhibit advantages and disadvantages based on certain context, it is quite difficult to determine. This paper provides an insight into the facts of proactive, reactive and hybrid routing protocols that are used in MANET. ECDSR protocol selects nodes on the basis of minimum threshold energy. As ECDSR protocol has overhearing and stale route problem, which leads to packet loss and over energy consumption. In our paper we reviewed the solution to address overhearing and stale route problem by suggesting modification in ECDSR protocol.","PeriodicalId":340137,"journal":{"name":"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126567703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A survey: Optimal node routing strategies in MANET MANET中最优节点路由策略综述

2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) Pub Date : 2016-03-01 DOI: 10.1109/SAPIENCE.2016.7684111

Renisha P. Salim, R. Rajesh

{"title":"A survey: Optimal node routing strategies in MANET","authors":"Renisha P. Salim, R. Rajesh","doi":"10.1109/SAPIENCE.2016.7684111","DOIUrl":"https://doi.org/10.1109/SAPIENCE.2016.7684111","url":null,"abstract":"MANET, a self-organizing network of various devices responsible for seamless communication. Routing protocols involved in the communication adopts new strategies to assure energy, security, traffic minimization, overhead. Dynamic nature of the MANET requires the modification in routing protocols for performance improvement. This paper presents the detailed survey of strategies involved in the implementation of routing protocols in the MANET. The survey categorized into four phases namely, routing protocols, neighborhood discovery, centralized / distributed hash tables, and bloom filter involved in MANET routing applications. First, the categorization of routing protocols on the basis of various traffic models presents the MANET structure. Second, a neighborhood discovery mechanism conveys the improvement in the routing configurations. Third, application of hash table mechanisms (centralized / distributed) to MANET to improve the matching efficiencies and computational speed. Finally, the application of bloom filter concept to improve service discovery rate and reduce the fake identities. Traditionally, the uncertainty occurs during the prediction of optimal node routing due to the dynamic nature of the MANET. Moreover, the presence of removed malicious node in another cluster degraded the link stability. This survey conveys the difficulties namely, storage overhead, mobility nature, malicious nodes and false positive rates in the traditional methods. The detailed survey leads to the stone of integration of Distributed Hash Table (DHT) with a bloom filter to overcome the difficulties in traditional research works.","PeriodicalId":340137,"journal":{"name":"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129077846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6