Browsing by Subject "Data mining."
Now showing items 1-20 of 34
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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 ... -
A Comparative Study on Different Big Data Tools
(North Dakota State University, 2020)Big data has long been the topic of fascination for computer science enthusiasts around the world, and has gained even more prominence in recent times with the continuous explosion of data resulting from the likes of social ... -
Consumer Sentiment Analysis Using Twitter
(North Dakota State University, 2017)Sentiment analysis is the task of finding people’s opinions about specific objects/matters. Ordinary people’s opinions affect the decision-making process. Today, there is a massive explosion of “sentiments” available on ... -
Credit Card Fraud Detection Predictive Modeling
(North Dakota State University, 2020)Finance fraud is a growing problem with consequences in the financial industry and data mining has been successfully applied to huge volume of complex financial datasets to automate and analyze credit card frauds in online ... -
Critical Information Retrieval from Emails
(North Dakota State University, 2014)With efficiency being a driving force in today’s ecommerce, emails have become a major form of communication. However, deciphering information from these emails has been a be-labored task. With every email containing ... -
Discovering Complex Relationships between Drugs and Diseases
(North Dakota State University, 2011)Finding the complex semantic relations between existing drugs and new diseases will help in the drug development in a new way. Most of the drugs which have found new uses have been discovered due to serendipity. Hence, the ... -
Disease Similarity Using Biological Module Dysregulation Profile
(North Dakota State University, 2016)Diseases can be grouped according to phenotypic and genotypic similarities. Gene expression and micro-RNA data paved the way to look inside the genetic coding and classify diseases accurately. Modern system biology seeks ... -
DOM Structure Based Web Pattern Mining
(North Dakota State University, 2011)A rapid expansion in the Web has motivated several studies to understand and recognize the implementation structure underlying the interface. Though the presentation of the Web pages looks different, those Web pages may ... -
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, ... -
Finding Hidden Relationships between Medical Concepts by Leveraging Metamap and Text Mining Techniques
(North Dakota State University, 2017)A lot of efforts have been made in order to make new discoveries in the biomedical filed. However, those valuable information may be hidden in text without applying appropriate text mining techniques. In this paper, I ... -
Implementation of a Medical Decision Making Tool
(North Dakota State University, 2014)Nowadays timely medical assistance is necessary for physicians/medical practitioners for decision making. Sometimes it is necessary for physicians to make decisions to diagnose the disease of a patient promptly. ‘Implementation ... -
An Interactive Visualization System for a Multi-Level View of Opinion Mining Results
(North Dakota State University, 2014)Products are purchased and sold on a daily basis and people tend to critique on products they purchase. Those who want to buy a product will read reviews on that product given by others before buying; likewise those who ... -
Mining Connected Frequent Boolean Expressions
(North Dakota State University, 2017)In this paper, we are finding Connected Frequent Boolean Expressions from cancer dataset [14] and protein protein interaction network [14] to discover group of dysregulated genes. Frequent Itemset Mining is a process of ... -
Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations
(2018)On-demand shared mobility services such as Uber and micro-transit are steadily penetrating the worldwide market for traditional dispatched taxi services. Hence, taxi companies are seeking ways to compete. This study mined ... -
Mining for Significant Information from Unstructured and Structured Biological Data and Its Applications
(North Dakota State University, 2012)Massive amounts of biological data are being accumulated in science. Searching for significant meaningful information and patterns from different types of data is necessary towards gaining knowledge from these large amounts ... -
Mining Frequent Coherent Patterns from Weighted Graphs
(North Dakota State University, 2014)Current research on network analysis; such as community detection, pattern mining and many other graph mining application mostly focus on large social or biological networks. Such experiments may find interesting patterns ... -
Mining Quasi-Frequent Subnetworks in Graph Networks Using Edge-Edge Summary Graph
(North Dakota State University, 2017)In today’s computing world, graphs have become increasingly important in modeling sophisticated structures, entities and their interactions, with broad applications including Bioinformatics, Computer Vision, Web analysis ... -
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 ... -
Perceptions of Genetically Modified Foods by Gender
(North Dakota State University, 2016)Twitter is one of the most popular worldwide social networking services. It has more than 320 million monthly active users around the world. So it’s a very good way to discover what’s happening in the world and we can even ... -
Prediction Accuracy of Financial Data - Applying Several Resampling Techniques
(North Dakota State University, 2020)With the help of Data Mining and Machine Learning, prediction has been a very popular and demanding instrument to plan and accomplish a future goal. The financial sector is one of the crucial sectors of present human ...