An Approach for Generating SQL Query using Natural language Processing
Priyanka,Pranali Deshmukh,Indira N. Biswas,Neha J. More,Francisco S. Gomes,Dept. of IT GSMCOE,Pune, India
Abstract
Today’s databases of corporations are so huge, that they can only be approached by experienced programmers. Accessing data from a database usually needs notable skills such as knowledge of SQL; however, the most of us who interact with databases everyday don’t have that background. Hence it’s an increase demand for non-technical user to be able to redeem data from databases without having to list SQL queries. And this problem is solved by using approach of Natural Language Processing. In this paper we propose an approach for building a querying system by which a user can fire queries in natural language. This system will interpret the input sentence and process them into SQL queries. These queries are in turn mapped with the intended information to generate output. Hence it will dramatically simplify the process of handling with large data and making data available for everyone.
SECURITY SURVEY AND STORAGE IMPROVEMENT IN MOBILE CLOUD COMPUTING
Abstract
We know now we are ready to go with new technology over currently used technology that is computer cloud computing (personal computer wi-fi network). In this paper implementing the heart of any technology i.e. for storage & security purpose we must define the client side and server side framework. This framework is must to form any cloud. At the time of implementation considering the power consumption and database availability terms, also we will check status of mobile application about its usage in device and manage storage by interfacing with server .I would like to express the technique implemented in this paper i.e. current technology, Mobile threats, security, storage, Data privacy.
Predictive Analysis of Air Pollution using Collaborative Filtering Prediction Algorithm
Samieksha Sharma1,Akanksha Gupta 2Mrs. Monia Digra3 ,MBS, College.
Abstract
Growing trends in Air pollution is possessing threat to environment. Various Researchers have extended their work in predicting air pollution using various predictive analytics. In this paper, we are implementing a predictive model for monitoring air pollution level in different cities of India and publishing it as a web service .The algorithm being used is Collaborative Filtering Prediction Algorithm. A comparison has also been carried out in different predictive analytics mainly using Machine Learning techniques such as regression and Deep Learning Technique and Collaborative filtering technique Index Terms — Collaborative filtering, Pearson Coefficient, Heuristics, Deep learning.