UB ScholarWorks

Browsing by Subject "Data mining"

Browsing by Subject "Data mining"

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  • Lin, Tingwei (2016-04-01)
    The SBA (Small Business Administration) offered a list of failure rates of small business loans sorted by franchise brands from 2001 to 2011. This is a collection of data of over 580 franchise brands who fail to pay back ...
  • Thapa, Santosh; Lee, Jeongkyu (2016-04-01)
    This paper describes use of Data mining techniques used to model traffic accidents detection. It is done by determing the blackspots by using Association Rule Mining and Clusterization algorithm. It helps to ascertain the ...
  • Chen, Yeqing (2016-04-01)
    Social media plays a big role and can profoundly affect individual behavior and decision-making. This project is to predict the stock trading volume trend from multiple online sources. I chose Facebook to demonstrate the ...
  • Kallam, Rama Krishna (2016-04-01)
    Huge amounts of data is being transferred ever since the evolution of internet and social media. By observing that data in an efficient way we can predict a lot of things early based on the past data. Many data mining ...
  • Gore, Palash (2016-04-01)
    Data mining is a term that refers to extraction of knowledge or information hidden in large volumes of raw data. The purpose of this project is to predict the popularity of a candidate for US presidential election, 2016 ...
  • Alla, Navya Bharathi (2016-04-01)
    Aggregator websites of Electronic gadgets listings decide if they want to pick a particular listing from an e-commerce website and display on their own website. Selection of the right items to list is essential to customers ...
  • Eltaher, Mohammed Ali; Lee, Jeongkyu (2014-03-28)
    In recent years, the pervasive use of social media has generated huge amounts of data that starts to gain a lot of attentions. Each social media source utilizes different data types such as textual and visual. For example, ...
  • Patel, Umang (2016-04-01)
    In this project, we apply sentiment analysis and data mining techniques to discover the correlation between “public sentiment” and “market sentiment”. We use twitter data to predict public mood and use the predicted mood ...
  • Savale, Swapnil Krishnachandra (2016-04-01)
    Data mining techniques are used to discover electricity consumption pattern at regional level in a city and used to extract knowledge concerning to the electricity consumption with respect to atmospheric temperature and ...
  • Manohar, Annapoorna; Gupta, Pooja; Priyanka, Veena; Uddin, Muhammad Fahim (ASEE, 2016-04-28)
    Analytics can be defined as the process of determining, assessing, and interpreting meaning from volumes of data. It has been categorized in three different categories - descriptive, predictive and prescriptive. Predictive ...

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