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Now showing items 21-28 of 28
Breast Cancer Diagnosis Using Different Machine Learning Techniques
(North Dakota State University, 2019)
Cancer is one of the dangerous diseases which causes many deaths each year and breast cancer being one of them which is quite common among women. In today’s time 12 percent of the women can develop breast cancer over her ...
Social Network Based Recommendation System
(North Dakota State University, 2013)
Every day we are overwhelmed with choices and options. Recommendation systems have gained popularity in providing suggestions. But every web application today has its own recommendation system. The recommendations provided ...
Enumeration of Dense Modules in Networks
(North Dakota State University, 2019)
To analyze large networks in various research fields including biology, sociology, and web mining, detection of dense modules (a.k.a. clusters) is a crucial step. Though numerous methods have been proposed to this aim, ...
Sentiment Analysis and Opinion Mining on Twitter with GMO Keyword
(North Dakota State University, 2016)
Twitter are a new source of information for data mining techniques. Messages posted through Twitter provide a major information source to gauge public sentiment on topics ranging from politics to fashion trends. The purpose ...
Study of Similarity Coefficients Using MapReduce Programming Model
(North Dakota State University, 2013)
MapReduce is a programming model for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that ...
Mining Representative Cohesive Dense Subgraphs
(North Dakota State University, 2014)
Data mining techniques have an important implication in social and biological network analysis, were we're interested in finding related complexes and communities.
A modern paradigm for solving this problem involves finding ...
Region Based Data Mining on Agriculture Data
(North Dakota State University, 2015)
Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. Most relationships in spatial datasets are regional and there is a great ...
Review Mining: Hierarchy Generation for Online Reviews
(North Dakota State University, 2015)
In the present world of ecommerce more and more products are purchased and sold online then via any other medium. With such massive drive in online shopping more and more information is being added every day on web regarding ...