Volume 9 | Issue 6 |

 Abstract

Bhupen Hazarika ke geeto ke vividh paksh

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bhupen Hazarika ke geeto ke vividh paksh

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Contemporary British fiction can be seen to be shaped by several factors chiefly with an experimental attitude. As noted by Morrison, it 're - established itself as the "pre - eminent literary form" triggered by the "range of new developments in the forms and concerns of the novel" . Among the various developments, one significant element is the "revival of an older, often maligned form of fiction: the romance". Significantly, the theme of 'love' occupies a central place in romance without any doubt. One of the features that the contemporary British novelists share is the idea of parallel love: the use of parallel love plots chiefly for achieving certain ends deemed important in the context of contemporary reality.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORDS: Love in Contemporary British Fiction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BHARAT ME CHUNAV SUDHAR KI VASTAVIKATA

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

BHARAT ME CHUNAV SUDHAR KI VASTAVIKATA

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

FINANCING ALTERNATIVES FOR NON-PROFIT ORGANIZATIONS

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FINANCING ALTERNATIVES FOR NON-PROFIT ORGANIZATIONS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Deep clustering is one of the most prominent clustering techniques compared with superior clustering techniques by jointly performing feature learning and cluster assignment. Although numerous deep clustering algorithms have emerged in various applications, most of them fail to learn robust cluster-oriented features which in turn hurt the final clustering performance. In order to overcome all these problems, we try to propose a two-stage deep clustering algorithm by incorporating data augmentation and self-paced learning. In the first stage, we try to train the system with all the inputs which are required for identifying the post with category name and rank. In the next stage we just want to identify the test condition in which user try to recommend the post to others and combine a post based on category.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ADAPTIVE SELF PACED DEEP CLUSTERING WITH DATA AUGUMENTION

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud Computing is one of the practice of using a network of remote servers hosted on internet to store, access, retrieve data from remote machines not from local machines. As the data will be stored on remote server, the user will retrieve the data from that server at the time of need. So for that data storage and access the user need to pay the amount on rental basis, that is the main reason why the cloud is also known as PAUZ(I.e Pay As you Uze).As data is stored in remote system we need to have a facility to avoid the duplicate data not to be reside on that server systems, if this is not avoided the user need to pay excess amount for that duplicated storage. So in order to avoid this data duplication we need to apply a new principle called as Data Deduplication.This is one of the best data compression technique that was used for eliminating the duplicate copies of repeated data and this was widely used in recent cloud storage.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Provable Data Possession by Identifying Duplicate Outsourced Data Transfer in Cloud Computing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In current days there were a great deal of assaults that happen in the field of software engineering and data innovation during the procedure of information transmission from one area to other area. In spite of the fact that the information will be moved from one area to other with a substantial IPaddress and port number inside the system, there is an opportunity of happening assault during information transmission in any capacity. One among the few assaults is IP-Spoofing assault which goes under a few assaults that are accessible in writing. This IP-Spoofing assault comes in various manners dependent on their assault type. The procedure or strategy for making a web convention (IP) parcels with a phony IP-Address or obscure IP address and attempt to sends to another framework with an off-base or phony ID ipaddress is known as IP-Spoofing. In this proposed application we attempt to configuration PIT model known as Passive IP Trackback model in which if there is any Spoofing assault is discovered it will quickly backtraverse for one hub back to its past root and attempt to send the information to legitimate goal with the assistance of other moderate hubs. By directing different analyses on our proposed PIT model, we at last arrived at a resolution that our proposed model is effective in catching the area of IPSpoofers dependent on way backscatter informational index and as an expansion we have indicated the application under a recreation graph with hubs and their assault situation is recognized effectively through that diagram model.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ipaddress. PIT Model, Backtraverse, Ipspoofers

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Customer Relationship Management (CRM) software designed for businesses that is sell, service, and support Products. In Customer Relationship Management application Integrated marketing campaign management coordinates and increases capabilities to collect, analyze and act on marketing data, improving lead quality, cost per sale and overall return on marketing investments. Access to service data increases management's capabilities to analyze business, identify profitable opportunities, devise sales strategies, and drive top-line revenue growth. It is difficult to maintain all these B2B task manually. It will take lot of time to maintain these type of tasks and required heavy man power.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SECURE E-CUSTOMER RELATION MANAGEMENT IN DECENTRALIZED SERVER

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Data mining is the process of extracting valuable information from a large data source and this is the primary step in the process of knowledge discovery. One among the best classification algorithm for classification is K-nearest neighbors (kNN) for the process of knowledge discovery. Inspired by the huge positive reviews about the tree-based methodology over the last decades, we try to develop a new method for data search under random projection forests (rpForests). Here the random forest projection method is mainly used to search the specified document randomly from the several groups and try to find out the document which is found or not. As we are using K-NN algorithm if the file is not found in one group the same file can be immediately search in opposite group in random manner and if the file is found the search will be immediately stopped at that point and the result will be displayed immediately. If the file is not found then the search continues till the end and the process terminates at the final stage if the file is not present in the entire groups.By conducting various experiments on our proposed model we finally came to a conclusion that our proposed approach is best in finding the solution to search the documents in random projection manner by using K-NN in an accurate manner.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Mining, Random Projection, Knowledge Discovery, Classification Algorithm, Positive Reviews.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning Algorithms, Deep Learning Model

  License

Creative Commons Attribution 4.0 and The Open Definition