Strictness Petroleum Prediction System Based on Fuzzy Model

Ghallab, Senan A.; Badr, Nagwa L.; Salem, Abdel-Badeeh M.; Tolba, Mohamed F.

doi:10.4018/ijssmet.2014100104

Cited by 14 publications

(1 citation statement)

References 22 publications

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“…Aloui and Touzi (2015) proposed a methodology for designing ontology on a new platform called "FO-FQ Tab plug-in" and then querying them smartly based on conceptual clustering and fuzzy logic in "A Fuzzy Ontology-Based Platform for Flexible Querying". Ghallab et al (2014), in their work "Strictness petroleum prediction system based on fussy model" predicted the status of crude oil and then compared it with other petroleum values. Huang et al (2015) summarized the latest application of big data in health science.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Olympics Big Data Prognostications

Bhatnagar¹,

Jain²

2016

International Journal of Rough Sets and Data Analysis

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Data is continuously snowballing over the years, gradually a huge growth is seen in data to store and tame to yield meticulous result. It gives rise to a concept nowadays, reckoned as big data analytics. With the summer Olympics at Rio de Janeiro, Brazil in the year 2016 round the corner, we, the authors have implemented a mathematical model by implementing efficient map reduce program to predict the number of medals each country might bag at the games. Based on a number of factors such as historical performance of the country in terms of medals won, the performance of athletes, financial scenario in the country, fitness levels and nutrition of athletes along with familiarity to the playing conditions can be used to come up with a reliable estimate.

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Section: Related Work and Motivationmentioning

confidence: 99%

Olympics Big Data Prognostications

Bhatnagar¹,

Jain²

2016

International Journal of Rough Sets and Data Analysis

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Collaborative and Clustering Based Strategy in Big Data

Jain¹,

Bhatnagar²,

Sharma³

2017

Collaborative Filtering Using Data Mining and Analysis

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There is a proliferation in the amount of data generated and its volume, which is going to persevere for many coming years. Big data clustering is the exercise of taking a set of objects and dividing them into groups in such a way that the objects in the same groups are more similar to each other according to a certain set of parameters than to those in other groups. These groups are known as clusters. Cluster analysis is one of the main tasks in the field of data mining and is a commonly used technique for statistical analysis of data. While big data collaborative filtering defined as a technique that filters the information sought by the user and patterns by collaborating multiple data sets such as viewpoints, multiple agents and pre-existing data about the users' behavior stored in matrices. Collaborative filtering is especially required when a huge data set is present.

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Big Data in Operation Management

Jain¹,

Bhatnagar²

Advances in Business Information Systems and Analytics

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The word big data analytics have been increased substantially these days, one of the most prominent reasons is to predict the behavior of the customer purchase. This analysis helps to understand what customer wants to purchase, where they want to go, what they want to eat etc. So that valuable insights can be converted into actions. The knowledge thus gained helps in understanding the needs of every customer individually so that it becomes easier to do the business with them. This is the revolutionary change to build a customer-centric business. To build a customer centric business an organization must be observant about what customer is doing, must keep a record about what customer is purchasing and lastly should discover the insights to maximum the profit for customer. In this chapter we discussed about various approaches to big data management and the use cases where these approaches can be applied successfully.

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Strictness Petroleum Prediction System Based on Fuzzy Model

Cited by 14 publications

References 22 publications

Olympics Big Data Prognostications

Olympics Big Data Prognostications

Collaborative and Clustering Based Strategy in Big Data

Big Data in Operation Management

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