Data Analysis Essays

ABSTRACT: Multi sensor fusion (or) multi sensor information fusion is an emerging technology which is being applied in the field of robotics, image and signal processing and medical diagnosis. The main objective of this paper is to give an idea about the various sensor fusion...

ABSTRACT Data analysis is known as ‘analysis of data ‘or ‘data analytics’, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques...

In the modern retail sector the consumers are the primary drivers of change in this industry, all the decision making process has become more sophisticated and complex than ever before. The objectives of this research analysis report is to find appropriate suggestions to the most...

Introduction Hereditary haemochromatosis (HH) is an adult onset, autosome recessive disorder caused by iron accumulation in tissues, primarily in liver. Early symptoms of hereditary haemochromatosis include lethargy, arthralgia, liver cirrhosis, arthritis, diabetes, weakness and so on, which are mainly non-specific. Other reference should be considered...

Mortality prediction of intensive care unit (ICU) patients facilitates hospital benchmarking and has the opportunity to provide caregivers with useful summaries of patient health at the bedside. The development of novel models for mortality prediction is a popular task in machine learning, with researchers typically...

Though machine learning is not a new technology, there are new developments coming up faster than most people can learn them. It is a cutting-edge technology in every sense of the word. In such a case, it is pertinent that we handle it with care....

This literature review provides Associate in Nursing up-to-date review of major external body part recognition analysis. We have a tendency to initial gift an outline of face recognition and its applications. Then, a literature review of the foremost recent face recognition techniques is bestowed. Description...

As technology has advanced and given rise to social media as a platform for the sharing of individual health information, the volume of data amassed by internet websites and applications has prompted the development of innovative methods for online data mining. Some of these methods...

A System for Building Customized Program Analysis Tools ATOM (Analysis Tools with OM) is a framework for building a customized software analysis tool. Provides common infrastructure through all code tools; this is the tough and takes a really long time doing it. The user can...

Data is playing an important role in our day to day lives; today each business needs data for development. The demand for its product in market depends on the reliable data which the business owns. The number of customers for the product or service also...

The significance of data collection. Data collection varies from data mining in that it is a procedure by which data is assembled and estimated. … It is through data collection that a business or service has the quality data they have to settle on educated...

In a highly competitive market, it is very risky for a company to make decision on prediction. They must use their available data. With data analytics we can capture value and benefit from the data. To do this, Company must hire skilled analysts to extract...

A “trie” is a data structure useful for string operations. It’s also called a prefix tree, or sometimes a radix tree. I prefer to pronounce it as “try” to distinguish it, but the etymology of the word comes from “retrieval”, and the person who coined...

A branch of spatial association rules mining; co-location mining is a significant member of the spatial data mining arena. The problem of spatial association rules mining was first accessible in Koperski & Han(1995), in which the authors anticipated a reference feature centric model Shekhar et...

There persist certain issues like hoist medical documents, requisite information, indispensable services & medical extremity. In this paper we make use of IOT & cloud computing to tackle and block these challenges and move from paper to electronic world. There is use of RFID to...

From the data collected through the survey of 10 people. We can see that every age group mostly had positive (P) connotations. Also, as we go from children to senior citizens we see a consistent pattern. That pattern is as we go from children to...

Data is the epicenter around which all research studies lies, right from the health survey to number of users of particular technology. People believe in facts and surveys which depend on data. Researchers work on to gather data, examine and interpret the information. The foremost...

Accurate information and data is vital when performing a procedure with the intentions to correct an abnormality within the heart. “Morphologic description of ventricular septal defect (VSD) is mandatory before performing the newly developed transcatheter closure procedure. Inaccurate estimation of defect size has been reported...

Data analytics is the practice of investigating vast quantities of data in order to make assumptions about the information they hold, progressively due to the help of specific software and methods. Data analytics practices and systems are broadly used in commercial industries to facilitate organizations...