Latest Projects Based on Data Mining

Cloud computing is a technology which enables us to store data over internet and access it from any part of the world. Cloud computing is used almost everywhere in IoT, there are many cloud storage organization who maintains the data and charges the user for this facility. How would that be if you had your own cloud, and you could store anything in that cloud storage drive from any part of the world?

There are many industries with different production lines and some of the process in industries cannot be monitored by human near the production line. The industry may be a small scale or a huge one there are some restricted areas that has to be monitored. There are different process running in each industry, but the security and the safety of the industry is the same in every industry.

A large organization uses a huge amount of data every day. Again with time the amount of data keeps on increasing. Keeping a record of those data using pen and paper is not advisable as physical data can be misplaced and difficult to retrieve. So, to run an organization smoothly and to keep a record of all data in a meaning full manner, we require a computerized management system. In this project, you will be addressing one of this kind of problem, which is the management of a library by developing an application using C++ and Oracle 11g.

We all love to watch TV, don't we? Whether it's India’s cricket match or your mother's favorite serial, it is safe to say, that every Indian household would be incomplete without a TV. Ever since its creation, the TV has been changing the way we consume media.

Do you think all the news that spread across the internet is true and realistic? Not at all. Fake news has become a serious issue in the digital world. This news spread just like wildfire, without limitations and very fast impacting the lives of millions of peoples.  So how can we deal with fake news? It is not as easy as turning to a simple fact-checker. Such news is intentionally written with some story-by-story base. Here comes Python to help us.

In this machine learning project, we need to build up a mathematical model for predicting the success class, for example, flop, hit, the super hit of the films. For doing this we need to build up a system in which the historical data of each component such as actor, actress, director, music that influences the success or failure of a movie is given. Then depend on different edges determined based on the basis of descriptive statistics of a dataset of each component will give flop, hit, super hit label. So, in this article, we are going to explore how to implement Movie success prediction using data mining. I hope you’re excited to see and learn the process of making the project. So, without any further delay, let get started!

This Data analytics project is done with the help of R which is one of the most popular programming languages for manipulation of statistical data. It is an open-source programming language and it provides a way to the user to molds their huge data and manipulates results based on various patterns. Sentiment Analysis is the process of deciding the nature of documents, texts, images, etc. it can be used to decide the polarity over opinions. By polarity, it means positive or negative.

This analytics project is very component to understand the use of data analytics. Through projects like this, many companies can understand various complex operations. Uber Data Analysis project enables us to understand the complex data visualization of this huge organization. It is developed with the help of ‘R’ programming language. Let’s get started with the project.

Data has become a very vital and important part of the technology age. We as a human rely on data and information to process things later. Handling these huge data can be a tough task but we have found some ways to manipulate it easily. We will be using the R programming language to build this project. R programming language is open-source software which was developed for data mining and statistical manipulation of the data.

Road accident is one amongst the crucial areas in India. The information to be analyzed is collected from various sources and has various aspects. It's a challenge to collect all such relevant data, detect and analyze it together to get decision trees that give information about previous accidents. One amongst the most objectives in accident data analysis is to spot the most factors of road accidents. For this matter, there's a necessity of machine learning to research the speed of accident. The results of this project are utilized to place some accident prevention efforts within the areas identified for a various variety of accidents to beat the number of accidents.

When it comes to submission’s we often tend to be late, or become lazy to do the assignments, practical’s and submit them late, or find it hard to submit it on paper. Let’s build a submission portal which helps students to submit their practical and assignments online easily. And the faculty can upload documents on the portal for students’ reference. The students can upload and download documents as well as the faculty. And students will then graded for their work on the portal itself.

Nowadays many companies, schools, colleges etc. take surveys regarding feedback of their particular products. It becomes hard for them to take it on paper, and plus it encourages to wastage of paper and affects the environment.

So, let’s build up a smart feedback system, where a particular company, school or college can register itself and create feedbacks for their products, teachers and working system. And allow their employees, students and parents to give them feedback.

Introduction

We've prepared AI frameworks to distinguish objects, explore roads and perceive outward appearances, yet as troublesome as they might be. They don't contact the degree of refinement required to reenact, for instance, a dog. Indeed, this undertaking intends to do only that — in a restricted manner. By watching the conduct of A Very Good Girl, this AI took in the basics of the proper behaviour like a dog. 

HR managers in big companies are facing difficulties in hiring the right candidate for a particular job profile due to the high volume of applications. Also, the hiring process takes lots of time and workforce. Data mining techniques can be used in the hiring process to overcome this problem. In this data mining project, you will learn to build a model that will help the Human resource department to shortlist the right candidate for a particular job position.

This model will predict the personality of the candidate based on the details provided in the resume/CV. Personality prediction system selects the best candidate by ranking the CV based on the candidate’s experience, skillset, qualification, and other important aspects that are required for the job position. 

Basically, the personality prediction system extracts the unstructured data from resumes and transforms it into a structured format. And ranks the resumes based on the job description provided by the company comparing with the extracted information.

Introduction

This article gives guidelines for the project with WEKA software. As we all know data mining is very popular for analysis and modeling, so the article is for student result prediction using data mining. You will definitely learn about What is WEKA software about and How to use it for analysis and prediction. It is very easy to predict the result using WEKA. You can learn new technologies with Skyfi Labs. We provide the best courses for improvement.

Introduction

Today, data Mining becomes highly important among industrial areas and many other organizations. It has become one of the leading technology in today’s world. It helps to analyze the data and predict the result. Data can be dug from a very big database with minimum efforts. Collecting data, computing data, analyzing data are an indivisible area of business methodology. If you want to develop a project using data mining the Skyfi Labs will help you with such an exciting journey.

Introduction

Today, Data Mining becomes highly important among the health care areas along with industrial areas. Mostly data mining is helpful to predict the result by analyzing the data. Collecting data, computing data, analyzing data are an indivisible area of business methodology. As we all know data mining is very popular for analysis and modeling, so the article is for Cancer prediction using data mining. The article focuses on the back end technologies for project implementation. If you are interested in this domain then go through the article. Skyfi Labs helps you to learn more technologies and boost your career.

Introduction

So here is another project idea on data mining or data analysistechnology. It will definitely help to improve your knowledge in data mining field. It analyses the data and uses it to find a similar pattern for prediction and recommendation. So in this article, we will introduce the Restaurant Recommendation System depend on the frame of mind. Data mining system learns from examples of the data that how to partition or classify the data. It helps to discover hidden patterns and insights. If you are interested then Skyfi Labs provides you data mining course too. Check our website for more information.

Project Description

So this article is all about the Restaurant Recommendation System depend on the frame of mind. We will see the basic guidelines for the implementation of the project. The article is helpful for second-year students as their minor academic project. The project focuses on different kinds of mood-wise restaurant recommendations. For example, if the person is happy then he/she will prefer junk food like pizza, burger, etc. If the mood is angry or sad then the person will prefer sweet any more. The article gives back end implementation guidelines for the project.

As we see in the technical field, data mining refers to a broadway of software tools and mathematical modeling techniques that are used to find patterns in data and use this information to model building. It describes the collection of analytical techniques that helps to build a recommendation model. Data mining processes are highly used for the building of machine learning models which include website recommendation programs and search engine technology. There are a few techniques in data mining as follows: Predictive Modeling, Descriptive Modeling, Pattern Mining, and Anomaly Detection. These are used for various purposes and the building of the different kinds of models. So today we are discussing the News Recommendation System. If you want to know more then read the whole project idea on Skyfi Labs.

You need to analyze something to get the work done properly or to make improvements in your life. Data analysis is exactly like that. Data Analysis is generally used to extract information and use it for decision making for better performance. Some logical and analytical facts are taken into consideration from the information gained from data. In this article, we are discussing the data analysis of cabs trips. It will be helpful for beginners. If you are interested in technologies the Skyfi Labs will help you to improve your knowledge.

Introduction

Text Mining as known as text analysis is a technology which helps to convert unstructured textual data to structured textual data. It is a part of data mining which is also known as Text Data Mining. We can explain it by an example of our emails. Some mails automatically get into spam. These are detected as unwanted mails which are there in your inbox. So if you want to see the practical approach of text mining the continue this article to the end. Skyfi Labs helps students to learn more technologies by providing many courses and technical articles.

Latest Projects based on data mining