Y Kanakadurgarao Baburao Kopuri
Published in
International Journal of Computer Engineering in Research Trends
Disruption tolerant networks are described by low node stupidity, erratic node versatility, and absence of worldwide system data. The vast majority of flow examination deliberations in DTNs concentrate on information sending, however just restricted work have been carried out on giving effective information access to Mobile clients. In this paper, ...
Telaprolu Swamulu P Sujatha
Published in
International Journal of Computer Engineering in Research Trends
Social networks give an essential origin of data with respect to clients and their cooperation's which is exceptionally important for the recommender systems. In web-based interpersonal organizations, social trust connections between clients demonstrate the likeness of their needs and assessments. In this paper, we introduced a Social network based...
M Jayasri S Narayana
Published in
International Journal of Computer Engineering in Research Trends
Graphs are widely employed in massive scale social network analysis. Graph mining more and more necessary in modeling difficult structures like circuits, images, web, biological networks and social networks. The key issues occur during this graph mining are machine potency (CE) and frequent sub graph mining (FSM). Machine potency describes the exte...
P Chakravarthy Dasari Vinay Kumar
Published in
International Journal of Computer Engineering in Research Trends
DTMN advancements are getting to be a productive provision that allow remote device passed on by officers to talk with each other and access the classified data or secret data by abusing outside storage nodes. This framework gives the effective situation to approval strategies and the solutions overhaul for secure data recovery in most difficult ca...
N Kumar Sujan Vadde
Published in
International Journal of Computer Engineering in Research Trends
Collaborative filtering (CF) is significant and admired technology for recommender systems. Recommender frameworks have been turned out to be significant means for web online clients to adapt to the information overload and have ended up a standout amongst the most effective and prevalent tools in electronic commerce. Recommending and personalizati...
Himabindu Mutluri Mrs Sujatha
Published in
International Journal of Computer Engineering in Research Trends
Big data is a massive accumulation of unstructured data where it can gather data from different sources like online networking, geological sources, and verifiable sources and so on. .With a specific end goal to separate the valuable data among unstructured stockpiling database, we utilize data mining strategies which coordinate enormous data proper...
Dasari Mahidhar B Suresh
Published in
International Journal of Computer Engineering in Research Trends
Persistently it is hard to locate the germane data in unstructured text documents. The organized data stays secured in unstructured text. Annotations as Attribute name-worth sets are more expressive for the recuperation of such documents. This system proposes a novel, particular, the alternative methodology for report recuperation which joins annot...
Annamneni Soujanya Baburao Kopuri
Published in
International Journal of Computer Engineering in Research Trends
In this paper we presented a supermodulaity based approach for data privacy using noval encryption mechani-sum in this conncetion the seviority of data privacy at storage level is most considerable so in our presented system lack of data privacy , scalability due to low security algorithm while data transformation so in our proposed system Scalabil...
