Data mining

ABSTRACT Big data is a popular term used to describe the improvement and availability of data in both structured and unstructured formats. Structure data is located in a fixed field within a record or file and it is present in the relational data bases and spreadsheets whereas an unstructured data file includes text and multimedia contents. The primary objective of this big data concept is to describe the extreme volume of data sets i.e. both structured and unstructured. It is further defined with

“Empowering women in mining” is the policy of Rio. Participation of females in the firm remained steady and consistently at about 24 per cent–close to almost one quarter of the workforce. There were women as paraprofessionals, graduates, relief crew leaders, crew leaders, specialists

County, Nevada—approximately 100 km northwest of Las Vegas (population ~600,000 people), 35 km northwest of Pahrump (population ~36,000 people), and at coordinates 570100 mE/ 4036200 mN (WGS84, Zone 11S). The project currently comprises 142 unpatented mining claims covering 1150 ha (2,840 acres ). Battery Mineral Resources (BMR), through sister company Resource Capital Gold Corp (RCG), entered into an option agreement with Lithium Assets Inc. to purchase an undivided 80% interest in the Amargosa Project

comprehensible way. How (precisely) will a data mining solution address the business problem? Data mining is having such techniques and algorithms that helpful in finding analytics from given data set, and helps in finding association

Big Data, Analytics & Modeling Data is the backbone of business today and has always played a critical role in business. Today in the era of “Big Data” and Digital Business, data has become the primary driver of decision making, growth and innovation. The big data today is radically different from the data of yesterday. The Big Data age has brought with it a tremendous increase in the amount of data and types of data available to businesses. New data is produced every day, generated by social networking

centre in a swiftly, efficient and safe manner. The trucks can react on their own via the obstacle detection software whereby it can adjust the speed to compensate or just stop (Grad, 2010). Nevertheless the trucks are constantly sending and receiving data to and from the operational centre for instructions, targets and speed (Grad, 2010). Other operations which have become autonomous are the 3 drills at the West Angelas mine, these are blast-hole drilling machines which can be controlled from 800m away

retention problems. Due to its performance in clustering massive data sets. The final clustering result of the k-mean clustering algorithm greatly depends upon the correctness of the initial centroids,

Personal Statement Growing up in a business background where my family had been in the international trade business for the last hundred years, I was always amazed to see how data science gradually involved in our family business. I have also gained insight into the data science tools and how data science improved our business decision-making and performance. During the past three years, I have found my post-graduation in Marketing and Finance comes out to support my success on my professional career

volume of data oday`s mobile technologies and social media have collection and it`s storage manifold. This led to unleashed an exponential increase in information. continual growth in the size of data sets with Predictive analytics, a business intelligence technology consequent increase in complexity as well. Hands-on is one of the latest to take the future by storm with its data analysis is being increasingly augmented with immense potential for data- mining and efficacy. indirect, automated data processing

PCA to reduce the dimensionality before visualizing the data, which turned out to solve the problem of visual clutter. By visualizing these data, employee behavior was displayed as a trend with abnormal events illustrated from the dataset. HealthViz was another visualization system that I built in Yelp Dataset Challenge, by which I won the first prize at Hackathon UST. This was the first time that Yelp Dataset Challenge provided image data and corresponding labels. However, I recognized there was