Machine Learning Applications
Machine learning applications can be found in a wide variety of application domains that take advantage of learning from big data. Applications in this area are given when the problem to be solved changed...
Category: Big Data Analysis
Speech Recognition
Speech recognition refers to the recognition of spoken speech in terms of converting the acoustic speech signal into an ASCII text. This acoustic speech signal can be considered as big data in many application...
Recommender Systems
Recommender systems refer to a technology that is able to predict user responses to specific user options by analyzing big data. One is example of such a system offers news articles to online newspaper...
FP Growth Frequent Patterns
FP Growth stands for Frequent Pattern Growth and is a very popular mining algorithm for big data initially published around 2000. It enables users to find frequent itemsets in transaction data. The algorithm starts...
MAFIA Algorithm
MAFIA stands for maximal frequent itemset algorithm and is a relatively new mining algorithm for big data initially published around 2005. It is an algorithm for mining maximal frequent itemsets in transaction datasets. The...
Convolutional Neural Network
A Convolutional Neural Network (CNN), also often called ConvNets, is a machine learning model that belongs to the field of deep learning. It works particularly well for big data especially for a large set...
SVM – Support Vector Machine
A Support Vector Machine known as SVM is a classification technique developed around 1990 for data analysis. They perform very well in many settings and are considered as one of the best ‘out-of-the-box classifiers’....
DALY – Disability-Adjusted Life Years Data
DALY stands for Disability-Adjusted Life Years that is a measure used with health datasets to quantify the burden of diseases. Health data from patients such as those that suffer from chronic diseases contains insights...
Confidence Interval
A confidence interval estimates an interval of a specific parameter that tells us something about the overall data space from which our dataset is a sample. In statistics the overall data space is called...
Statistics
Every educated citizen needs an understanding of basic statistics and tools to function in a world that is increasingly dependent on quantitative information derived from big data. The word itself is often used in...
