anurag kumar

Aku,Patna, Computer Science and Engineering, Faculty Member

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working as Assistant Professor at Government Engineering College West Champaran
Address: government engineering college West Champaran, Kumarbagh , Bettiah, Bihar

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ANALYSIS AND PREDICTION OF RAINFALL USING MACHINE LEARNING TECHNIQUES

IRJET, 2022

Weather and climate prediction are dominated by high dimensionality, interactions on many differe... more Weather and climate prediction are dominated by high dimensionality, interactions on many different spatial and temporal scales, and chaotic dynamics. Machine learning techniques can predict rainfall by extracting hidden patterns from historical weather data. In this technique apply the Multiple Linear regression (MLR) and Support vector regression (SVR) model for rainfall prediction. To design and implement the system, we have gathered 115 years of data from 1901 to 2017 from Kaggle. Our proposed model has been tested and validated with respect to Multiple Linear regression and Support Vector regression. Compared results reveal the satisfactory performance, the SVR had provided maximum accuracy

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A Study on Web Structure Mining

As web is the largest collection of information and plenty of pages or documents, the World Wide ... more As web is the largest collection of information and plenty of pages or documents, the World Wide Web has becoming one of the most valuable resources for information retrievals and knowledge discoveries. Web mining technologies are the right solutions for knowledge discovery on the Web. Web mining divides into web content, web structure and Web usage mining. In this paper, we focus on one of these categories: the Web structure mining. Web structure mining plays very significant role in web mining process. Within this category, we explain mining algorithms and review some popular methods applied in Web structure mining.

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Web Mining Overview, Techniques, Tools and Applications: A Survey

Web Mining is moving the World Wide Web towards a more useful environment in which users can quic... more Web Mining is moving the World Wide Web towards a more useful environment in which users can quickly and easily find the information they need. Large amount of text documents, multimedia files and images are available in the web and it is still increasing. Data mining is the form of extracting data’s available in the internet. Web mining is a part of data mining. Web mining is used to discover and extract information from Web-related data sources such as Web documents, Web content, hyperlinks and server logs. The term Web mining has been used in three distinct ways. The first, called Web content mining is the process of information discovery from sources across the World Wide Web. The second, called Web structure mining is the process of analyzing the relationship between Web pages linked by information or direct link connection through the use of graph theory. The third, called Web usage mining is the process of extracting patterns and information from server logs to gain insight on user activity. In this paper, we are trying to give a brief idea regarding web mining concerned with its techniques, tools and applications.

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COMPARATIVE ANALYSIS OF ANGULARJS AND REACTJS

We live in a different era of web, we need better ways to quickly develop and deploy interactive ... more We live in a different era of web, we need better ways to quickly develop and deploy interactive web applications and that is where JavaScript frameworks come to the picture. JavaScript frameworks are the backbone of single page web applications development and provide superpowers to plain HTML and JavaScript. AngularJS and React.js are two most used javascript frameworks in current web development. Both frameworks are used to build interactive single page application. This research paper helps in understanding AngularJS and ReactJS.

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A Study on Web Content Mining

Web Mining is extracting information from the web resources and finding interesting patterns that... more Web Mining is extracting information from the web resources and finding interesting patterns that can be useful from ever expanding database of World Wide Web. Whenever we talk about data, we conclude that there is a huge range of data on World Wide Web. Due to heterogeneity and unstructured nature of the data available on the WWW, Web mining uses various data mining techniques to discover useful knowledge from Web hyperlinks, page content and usage log. Web Content Mining is a component of Data Mining. The main uses of web content mining are to gather, categorize, organize and provide the best possible information available on the Web to the user requesting the information. This paper deals with a preliminary discussion of Web content mining, contributions in the field of web mining, the prominent successful tools and algorithms.

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A Study on Prediction of User Behavior Based on Web Server Log Files in Web Usage Mining

Nowadays, the growth of World Wide Web has exceeded a lot with more expectations. The internet is... more Nowadays, the growth of World Wide Web has exceeded a lot with more expectations. The internet is growing day by day, so online users are also rising. The interesting information for knowledge of extracting from such huge data demands for new logic and the new method. Every user spends their most of the time on the internet and their behavior is different from one and another. Web usage mining is the category of web mining that helps in automatically discovering user access pattern. Web usage mining is leading research area in Web Mining concerned about the web user's behavior. In this paper emphasizes is given on the user Behaviors using web server log file prediction using web server log record, click streams record and user information. Users using web pages, frequently visited hyperlinks, frequently accessed web pages, links are stored in web server log files. A Web log along with the individuality of the user captures their browsing behavior on a website and discussing regarding the behavior from analysis of different algorithms and different methods

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