Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943244
Rashmi Rupam, G. Dubey, S. Singh
The Fifth Generation communication technology is considered to be the most advanced and technically innovative entry in the progression of wireless communication. Starting from the preliminary phase of evolution, when hardwired telephones were replaced by mobile systems, till the cutting-edge where the all-IP standards have substituted the broadband and digital technologies, the communication world has observed a significant development. In this paper, we are discussing the vision of 5G and its future scope in Indian market. The introduction discusses the prospects of the fifth generation. It gives a glimpse of the key features of the earlier generations (1G-4G) and the driving forces for 5G. Further, the architecture section discusses the implementing technologies like Massive MIMO and Spatial Modulation that are capable of resolving the general issues encountered by the earlier generations. The third and last part focusses on the visions of 5G and its scope in Indian telecom market.
{"title":"5G-A deep insight and its future in India","authors":"Rashmi Rupam, G. Dubey, S. Singh","doi":"10.1109/CONFLUENCE.2017.7943244","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943244","url":null,"abstract":"The Fifth Generation communication technology is considered to be the most advanced and technically innovative entry in the progression of wireless communication. Starting from the preliminary phase of evolution, when hardwired telephones were replaced by mobile systems, till the cutting-edge where the all-IP standards have substituted the broadband and digital technologies, the communication world has observed a significant development. In this paper, we are discussing the vision of 5G and its future scope in Indian market. The introduction discusses the prospects of the fifth generation. It gives a glimpse of the key features of the earlier generations (1G-4G) and the driving forces for 5G. Further, the architecture section discusses the implementing technologies like Massive MIMO and Spatial Modulation that are capable of resolving the general issues encountered by the earlier generations. The third and last part focusses on the visions of 5G and its scope in Indian telecom market.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"20 1","pages":"714-720"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73667597","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943240
Falguni Gupta, S. Singal
Twitter is in deed the most sought after micro blogging site these days. It has had a great hand in voicing public opinion. The challenge lies in giving this voice a definition by extracting specific results so that we can head towards a better future keeping in mind the sentiments of the public. Although there have been many approaches to analyzing sentiments on Twitter but extremely few have been found which also consider region wise classification of the sentiment. The proposed work targets to use a novel approach which also considers region wise sentiments to give sentiment analysis a new platform. Also, recently in India there has been a drastic change due to demonetization of the economy. Our aim is to mine this data region wise and conclude whether region wise classification can give us more specific results or not.
{"title":"Sentiment analysis of the demonitization of economy 2016 India, Regionwise","authors":"Falguni Gupta, S. Singal","doi":"10.1109/CONFLUENCE.2017.7943240","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943240","url":null,"abstract":"Twitter is in deed the most sought after micro blogging site these days. It has had a great hand in voicing public opinion. The challenge lies in giving this voice a definition by extracting specific results so that we can head towards a better future keeping in mind the sentiments of the public. Although there have been many approaches to analyzing sentiments on Twitter but extremely few have been found which also consider region wise classification of the sentiment. The proposed work targets to use a novel approach which also considers region wise sentiments to give sentiment analysis a new platform. Also, recently in India there has been a drastic change due to demonetization of the economy. Our aim is to mine this data region wise and conclude whether region wise classification can give us more specific results or not.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"36 1","pages":"693-696"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79372657","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943122
Paurush Bhulania, Heena Saxena, S. Tomar
Evolutionary is a study of immense curiosity to several researchers. Numerous fresh algorithmic rules are being developed on the natural processes in environment. Various form of the ρ resent algorithmic rules are also being evolved and the most advantageous method is being investigated. In this ρaper a concise opening to Practicalswarm Optimization (PSO) and a preface to differential evolution. Further, a explanation on the hybrid algorithm evolved with DE and PSO is e stablished and the consequent outcomes under procedure are also declared.
{"title":"An efficient hybrid approach using differential evolution and practical swarm optimization","authors":"Paurush Bhulania, Heena Saxena, S. Tomar","doi":"10.1109/CONFLUENCE.2017.7943122","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943122","url":null,"abstract":"Evolutionary is a study of immense curiosity to several researchers. Numerous fresh algorithmic rules are being developed on the natural processes in environment. Various form of the ρ resent algorithmic rules are also being evolved and the most advantageous method is being investigated. In this ρaper a concise opening to Practicalswarm Optimization (PSO) and a preface to differential evolution. Further, a explanation on the hybrid algorithm evolved with DE and PSO is e stablished and the consequent outcomes under procedure are also declared.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"21 1","pages":"47-51"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78437659","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943213
Anshuman, S. Rao, Misha Kakkar
With the advent to social media the number of reviews for any particular product is in millions, as there exist thousand of websites where that particular product exists. As the numbers of reviews are very high the user ends up spending a lot of time for searching best product based on the experiences shared by review writers. This paper presents a sentiment based rating approach for food recipes which sorts food recipes present on various website on the basis of sentiments of review writers. The results are shown with the help of a mobile application: Foodoholic. The output of the application is an ordered list of recipes with user input as their core ingredient.
{"title":"A rating approach based on sentiment analysis","authors":"Anshuman, S. Rao, Misha Kakkar","doi":"10.1109/CONFLUENCE.2017.7943213","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943213","url":null,"abstract":"With the advent to social media the number of reviews for any particular product is in millions, as there exist thousand of websites where that particular product exists. As the numbers of reviews are very high the user ends up spending a lot of time for searching best product based on the experiences shared by review writers. This paper presents a sentiment based rating approach for food recipes which sorts food recipes present on various website on the basis of sentiments of review writers. The results are shown with the help of a mobile application: Foodoholic. The output of the application is an ordered list of recipes with user input as their core ingredient.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"19 1","pages":"557-562"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81675705","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943197
Paurush Bhulania, M. Tripathy, Ayoub Khan
Network-on-Chip (NoC) on Microprocessor System-on-Chip (MPSoC) has emerged as the new generation communication infrastructure providing a promising solution to connect different IPs through a scalable, effective and modular communication network. NoC could bring significant improvement over crossbar interconnections and conventional bus. To design an efficient NoC, the choice of suitable network topology is very important. Wrong choices can affect the network performance. Critical factors of selection for correct topology are degree of the network, diameter of the network, throughput of the network and latency of the network. In this paper we are proposing the communication on 3D heterogeneous topology implementation on Microprocessor System on Chip. My work here explores the combination of 2D Mesh and 2D Hexagon in a 3D heterogeneous topology.
{"title":"3D implementation of heterogeneous topologies on MPSoC","authors":"Paurush Bhulania, M. Tripathy, Ayoub Khan","doi":"10.1109/CONFLUENCE.2017.7943197","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943197","url":null,"abstract":"Network-on-Chip (NoC) on Microprocessor System-on-Chip (MPSoC) has emerged as the new generation communication infrastructure providing a promising solution to connect different IPs through a scalable, effective and modular communication network. NoC could bring significant improvement over crossbar interconnections and conventional bus. To design an efficient NoC, the choice of suitable network topology is very important. Wrong choices can affect the network performance. Critical factors of selection for correct topology are degree of the network, diameter of the network, throughput of the network and latency of the network. In this paper we are proposing the communication on 3D heterogeneous topology implementation on Microprocessor System on Chip. My work here explores the combination of 2D Mesh and 2D Hexagon in a 3D heterogeneous topology.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"14 1","pages":"470-473"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82192592","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943205
Sanyam Bharara, A. Sabitha, Abhay Bansal
The Knowledge Economy is of great importance in various business fields which had resulted in increased demand for the people having high order thinking skills and unpredicted-problem-solving at workplace. Every organization has a Knowledge Management (KM) department as Knowledge itself is a precious resource of the organization. The latest trends in KM include Customer and Vendor knowledge, Mobile Applications for KM, Collaborative Knowledge Management System (KMS) and Social intranet which can be integrated with business processes. The knowledge extracted can be stored and processed to enhance business intelligence. KM works with various business fields like Marketing, Sales, Human Resource, Operations, Supply Chain, etc. Due to frequent changes in operation of processes and Quality policies, the knowledge extracted from these processes can play a vital role in enhancing business processes. In this paper we had proposed various models of KM & Business Operations and the need of data mining technique which can be used to deliver appropriate knowledge to the user.
{"title":"A review on knowledge extraction for Business operations using data mining","authors":"Sanyam Bharara, A. Sabitha, Abhay Bansal","doi":"10.1109/CONFLUENCE.2017.7943205","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943205","url":null,"abstract":"The Knowledge Economy is of great importance in various business fields which had resulted in increased demand for the people having high order thinking skills and unpredicted-problem-solving at workplace. Every organization has a Knowledge Management (KM) department as Knowledge itself is a precious resource of the organization. The latest trends in KM include Customer and Vendor knowledge, Mobile Applications for KM, Collaborative Knowledge Management System (KMS) and Social intranet which can be integrated with business processes. The knowledge extracted can be stored and processed to enhance business intelligence. KM works with various business fields like Marketing, Sales, Human Resource, Operations, Supply Chain, etc. Due to frequent changes in operation of processes and Quality policies, the knowledge extracted from these processes can play a vital role in enhancing business processes. In this paper we had proposed various models of KM & Business Operations and the need of data mining technique which can be used to deliver appropriate knowledge to the user.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"5 1","pages":"512-518"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90035338","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943191
Neetu Gupta, Abhishek Aggarwal
Today is the era of high technology and information exchange world. Everyone is in need of sending or downloading a huge amount of data. Further being connected on the go and all the time is what people want today. Broadband and wireless connectivity in homes and offices is what being used by users that keep them wire free and make the accessibility easy and fast. Further to this providing a robust, fast and reliable connectivity network to the people on the go in vehicles and even aircraft is a challenge. In this paper we explore such a technology that talks about connectivity in aviation and aircrafts i.e. Airborne Internet. The idea is to take all the facilities and implementation of the ground networks and provide a high speed network connecting aircraft and ground.
{"title":"Airborne Internet — The Internet in the air","authors":"Neetu Gupta, Abhishek Aggarwal","doi":"10.1109/CONFLUENCE.2017.7943191","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943191","url":null,"abstract":"Today is the era of high technology and information exchange world. Everyone is in need of sending or downloading a huge amount of data. Further being connected on the go and all the time is what people want today. Broadband and wireless connectivity in homes and offices is what being used by users that keep them wire free and make the accessibility easy and fast. Further to this providing a robust, fast and reliable connectivity network to the people on the go in vehicles and even aircraft is a challenge. In this paper we explore such a technology that talks about connectivity in aviation and aircrafts i.e. Airborne Internet. The idea is to take all the facilities and implementation of the ground networks and provide a high speed network connecting aircraft and ground.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"5 1","pages":"441-444"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90623728","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943204
K. Kaur, Kanwal Preet Singh Attwal
Prediction of agriculture yield is a job that requires unification of knowledge from several areas such as data mining, statistics and agriculture. Subject of crop yield prediction has been very popular among various organizations working in agriculture, producers etc. Ρrediction of crop yield helps in managing the storage of crops as well as it directs the transportation decisions, and risk management issues related to crops. Pattern of rainfall and temperature aredynamic due to global warming, and resulting in undergoing impingement on crop productivity. Data Mining focuses upon methodologies for extracting useful knowledge from data and there are several tools to extract the knowledge that is it is a proficiency of examining the dataset such that the end results can be deduced easily and rapidly from the dataset. The knowledge gathered can be used ο forecast the paddy yield. But farmers do not use any knowledge discovery process approach on paddy yield data. Data mining can be used in agriculture for decision making. In this study, we collected data from different government organizations, after preprocessing and discretization of data applied Predictive Apriori algorithm using Data Mining tool (WEKA) for analysis of daily temperature, daily rainfall and paddy yield to predict the paddy yield and to analyze the effect of temperature and rainfall on the paddy yield.
{"title":"Effect of temperature and rainfall on paddy yield using data mining","authors":"K. Kaur, Kanwal Preet Singh Attwal","doi":"10.1109/CONFLUENCE.2017.7943204","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943204","url":null,"abstract":"Prediction of agriculture yield is a job that requires unification of knowledge from several areas such as data mining, statistics and agriculture. Subject of crop yield prediction has been very popular among various organizations working in agriculture, producers etc. Ρrediction of crop yield helps in managing the storage of crops as well as it directs the transportation decisions, and risk management issues related to crops. Pattern of rainfall and temperature aredynamic due to global warming, and resulting in undergoing impingement on crop productivity. Data Mining focuses upon methodologies for extracting useful knowledge from data and there are several tools to extract the knowledge that is it is a proficiency of examining the dataset such that the end results can be deduced easily and rapidly from the dataset. The knowledge gathered can be used ο forecast the paddy yield. But farmers do not use any knowledge discovery process approach on paddy yield data. Data mining can be used in agriculture for decision making. In this study, we collected data from different government organizations, after preprocessing and discretization of data applied Predictive Apriori algorithm using Data Mining tool (WEKA) for analysis of daily temperature, daily rainfall and paddy yield to predict the paddy yield and to analyze the effect of temperature and rainfall on the paddy yield.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"1 1","pages":"506-511"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89949364","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943164
Akshay Arora, Abhirup Khanna, Anmol Rastogi, A. Agarwal
In the past couple of years Cloud Computing has become an eminent part of the IT industry. As a result of its economic benefits more and more people are heading towards Cloud adoption. In present times there are numerous Cloud Service providers (CSP) allowing customers to host their applications and data onto Cloud. However Cloud Security continues to be the biggest obstacle in Cloud adoption and thereby prevents customers from accessing its services. Various techniques have been implemented by provides in order to mitigate risks pertaining to Cloud security. In this paper, we present a Hybrid Cryptographic System (HCS) that combines the benefits of both symmetric and asymmetric encryption thus resulting in a secure Cloud environment. The paper focuses on creating a secure Cloud ecosystem wherein we make use of multi-factor authentication along with multiple levels of hashing and encryption. The proposed system along with the algorithm are simulated using the CloudSim simulator. To this end, we illustrate the working of our proposed system along with the simulated results.
{"title":"Cloud security ecosystem for data security and privacy","authors":"Akshay Arora, Abhirup Khanna, Anmol Rastogi, A. Agarwal","doi":"10.1109/CONFLUENCE.2017.7943164","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943164","url":null,"abstract":"In the past couple of years Cloud Computing has become an eminent part of the IT industry. As a result of its economic benefits more and more people are heading towards Cloud adoption. In present times there are numerous Cloud Service providers (CSP) allowing customers to host their applications and data onto Cloud. However Cloud Security continues to be the biggest obstacle in Cloud adoption and thereby prevents customers from accessing its services. Various techniques have been implemented by provides in order to mitigate risks pertaining to Cloud security. In this paper, we present a Hybrid Cryptographic System (HCS) that combines the benefits of both symmetric and asymmetric encryption thus resulting in a secure Cloud environment. The paper focuses on creating a secure Cloud ecosystem wherein we make use of multi-factor authentication along with multiple levels of hashing and encryption. The proposed system along with the algorithm are simulated using the CloudSim simulator. To this end, we illustrate the working of our proposed system along with the simulated results.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"5 1","pages":"288-292"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87073451","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}
Pub Date : 2017-01-01DOI: 10.1109/CONFLUENCE.2017.7943200
A. Jayaram, S. Singal
Enterprise Resource Management System (ERMS) is used in the management of enterprise for the computerization of enterprise processes such as management of customer data, employee data, client data, financial data, sales reports, attendance reports, inventory details, equity details and payroll details. An ERMS can handle different user roles such as manager, CEO, employees, customers and has abstraction features for its users. It is the core software used by all enterprises as it provides an interface for the overall management of the enterprise. The proposed ERMS model is easy to use, easily configurable as well as economical in terms of time and cost. Moreover, it can adapt easily to any browser or device through its inbuilt bootstrap framework. Migration of data from the existing enterprise system is also feasible. Business Intelligence can be obtained by performing data mining and predictive analytics with the massive data obtained in the central cloud storage area of the proposed ERMS model. Implementation of the proposed ERMS model can be extremely beneficial for the enterprise as it can gain valuable insights regarding the running of its business, customers and competitors.
{"title":"An enterprise resource management model for business intelligence, data mining and predictive analytics","authors":"A. Jayaram, S. Singal","doi":"10.1109/CONFLUENCE.2017.7943200","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943200","url":null,"abstract":"Enterprise Resource Management System (ERMS) is used in the management of enterprise for the computerization of enterprise processes such as management of customer data, employee data, client data, financial data, sales reports, attendance reports, inventory details, equity details and payroll details. An ERMS can handle different user roles such as manager, CEO, employees, customers and has abstraction features for its users. It is the core software used by all enterprises as it provides an interface for the overall management of the enterprise. The proposed ERMS model is easy to use, easily configurable as well as economical in terms of time and cost. Moreover, it can adapt easily to any browser or device through its inbuilt bootstrap framework. Migration of data from the existing enterprise system is also feasible. Business Intelligence can be obtained by performing data mining and predictive analytics with the massive data obtained in the central cloud storage area of the proposed ERMS model. Implementation of the proposed ERMS model can be extremely beneficial for the enterprise as it can gain valuable insights regarding the running of its business, customers and competitors.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"26 1","pages":"485-490"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85909822","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}
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