Statistical Analysis The Big Data Analytics - 1399 Words

The big data analytics deals with a large amount of data to work with and also the processing techniques to handle and manage large number of records with many attributes. The combination of big data and computing power with statistical analysis allows the designers to explore new behavioral data throughout the day at various websites. It represents a database that can’t be processed and managed by current data mining techniques due to large size and complexity of data. Big data analytic includes the representation of data in a suitable form and make use of data mining to extract useful information from these large dataset or stream of data. As stated above the big data analytics has recently emerged as a very popular research and practical-oriented framework that implements i) data mining, ii) predictive analysis forecasting, iii) text mining, iv) virtualization, v) optimization, vi) data security, vii) virtualization tools for processing very large data sets. In the impleme ntation of big data applications, new data mining techniques and virtualization are required to be implemented due to the volume, variability, forms and velocity of the data to be processed. A set of machine learning techniques based on statistical analysis and neural networking technology for big data is still evolving but it shows a great potential for solving a big data business problems. Further, a new concept of in-memory database for enhancing the speed for analytic processing is further helpingShow MoreRelatedAnaistics Of Big Data Analytics941 Words   |  4 PagesBig data is defined as high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making (Gartner IT Glossary, n.d.). IBM added a term Veracity as the fourth V to describe the unreliability characteristic of data in certain areas (Gandomi Haider, 2015). Big data comes from various sources such as text, soc ial media websites, images, audios, videos, e-commerce transactions, mobile devicesRead MorePredictive Analytics, Data And Data1194 Words   |  5 PagesData is being produced at a huge rate and 90% of the data which exists today were produced in the last two years. Thus, it is difficult to manage big data which are extremely large, structured/ unstructured data sets analyzed to find trends, associations, reports, etc. The biggest challenge today is to find the quickest and the most inexpensive tool to analyze the big data which consists of emails, videos, pdf, audio files, and tweets. Predicting future with being able to access and store real timeRead MoreManaging Business And Research Data Is A Big Trend Right Now1566 Words   |  7 PagesIBM Watson Analytics Shreya Prabhu, San Jose State University, San Jose CA Abstract Managing business and research data is a big trend right now. In the dearth of skilled data analysts and data scientists as to the ever increasing need of managing and analyzing data, it is the need of the hour to search for tools and solutions that can achieve big data analysis. IBM Watson Analytics gives tools to access data in an easy way and enables users to do truly complex analytics in minutes on tasks whichRead MoreWhat Is Mapreduce For Clinical Analysis1032 Words   |  5 Pages BIGDATA ANALYTICS ASSIGNMENT-2 HITESH BANDARU ID#1174297 MapReduce for clinical analysis: Introduction: The huge data in the clinical settings shows the challenges in data storage and analysis. Advances in data and correspondence innovation exhibit the most feasible answers for Big data analysis as far as proficiency and adaptability. It is fundamental those Big data solutions are multithreaded and that information get to approaches be absolutely customized to huge volumes of semi-organized/unstructuredRead MoreMarketing Analytics And The Other Job Roles1256 Words   |  6 Pages Introduction into Analytics Business Analytics and the other job roles connected to this area has increasing job trend in the last few years, newer and newer jobs appearing in the market, which was not exist 5-8 years ago. Since I am working in this area, and also an interesting area, I would like to introduce this to the audience.I am interested in this topic not only because I am working in this area, also because as a non-statistician person I still could learn many ways of simulating forecastingRead MoreA Brief Note On Big Data Analytics Techniques1179 Words   |  5 Pages3. BIG DATA ANALYTICS TECHNIQUES ‘Big Data’ is the application of specialized techniques and technologies to process very large sets of data. These data sets are often so large and complex that it becomes difficult to process using on-hand database management tools. There are several techniques which are widely used in implementation of Big Data. 1. Association rule learning: Association rule learning is a method for discovering interesting correlations between variables in large databases. It wasRead MoreBusiness Intelligence And Marketing Analytics Essay1321 Words   |  6 PagesBlogs / job portals / special interest groups take on BI and BA Business intelligence and business analytics†¦ aren’t they the same thing?Or are they describing opposite processes?There are a lot of big words that get thrown around in the world of BI, and it’s easy to get lost in a whirlwind of interpretation.The diversity of opinion reflects the fluidity of how we understand the defining language of the field.It also demonstrates that in business intelligence, one term can mean different things toRead MoreForecasting Power Of Statistical Data Analytics Essay828 Words   |  4 Pagessemester, we have learned different aspects of Big Data analytics and their practicalities. Forecasting and prediction are another important parts of data analytics. Advanced forecasting analytics is playing a vital role in the age of Big Data, such as predicting crime activities, weather changes, electric power generations, or personalizing marketing campaigns. The purpose of this report is to demonstrate the forecasting power of statistical data analytics. We will use a time series dataset to conductRead MoreThe Big Data Related Activities1487 Words   |  6 PagesThe world is changing with respect to the growth in big data and to the way in which it is used. Growth in big data brings with it many challenges, but it also presents new opportunities. Figure 1, helps understand some of the big data related activities that are taking place in the world with respect to volume of data that is being consumed by these activities over the next 5 years. Fig. 1: Data is predicted to grow to more than 160,000 terabytes in the next 5 years. Apple was Teradata’s â€Å"fastestRead MoreDifferences Between Structured Data And Unstructured Data1739 Words   |  7 Pagesbetween Structured data and Unstructured data (18 Points) Similarities between Structured Data and Unstructured Data. 1a. What are some of the key differences between managing structured data vs. unstructured data? Structured Data Unstructured Data It has a well-defined content or high degree of organization No identifiable structure Structured data fit nicely into relational databases. Unstructured data does not fit into relational databases as it does not have a pre-defined data model or organized

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A Portion of The Aging Population Free Essays

According to Kidwell and Warach (2003) cerebral vascular accident is a term that was used   to referred to the loss brain functions   arising from the   problems in the blood vessels that supply the   brain with oxygenated blood. CVA can be caused by the ischemia or lack of enough blood supply to the brain due to a thrombosis, embolism or due to complications from hemorrhage. The central nervous system is very critical to the body and therefore lack of blood supply is likely to affect the other parts of the body. We will write a custom essay sample on A Portion of The Aging Population or any similar topic only for you Order Now    Mostly it leads to the inability to move limbs on one side of the body, distorted speech and understanding, or visual impairment.   Today, the term stroke it mostly used in reference to cardiovascular accident. The prevalence of the condition has shown that the aged population is at a higher risk compared to the rest of the population. A disease of the aged There are more than 500,000 case of CVA in the United States recorded every year. This results to more than 150,300 deaths every year due to direct attack like stroke or due to other incapacitation and complications. More than thirty percent die in acute stage of the attack while about thirty to fourth percent are severely disabled. Statistics also reveal that more than 50 percent of individuals who suffer their first CVA or stroke attack are more than 70 years old while ninety five percent of the all the attacks occurs to individuals who are more than 45 years of   age. Men, especially those above 65 years are 1.25 times more likely to suffer from CVA attack. However since women live longer than men, sixty percent of the case occurs in women since the risk increase with advancement in age. (Haase, 2006) Causes and contributing factors Cerebral vascular accident (CVA) is caused by an ischemic attack or hemorrhage complications which attack the brain tissues leading to infarction of brain tissue through interruption of the cerebral blood flow.   An ischemic attack may last for not more than five minutes but it has permanent effects since it damages the neural tissues which are incapable of regeneration. The pathophysiological progression of the condition shows that three groups of individuals are at a higher risk of suffering a CVA or stroke. The first group includes those with the transit neurological events. The second group includes those with the cardiac disease which increasingly predispose them to embolism and the third group comprise of those with asymptomatic carotid bruit which is a sign of vessel blockage.   Mohr et al., (2004) argues that transit ischemic attacks serves as a warning sign which indicate that a stroke attack can occur at any one time. This means that we can identify two prime causes as an embolism and a hemorrhagic attack. An embolism can be detached from the blood vessel wall, travel to the brain and block the vessel resulting to stroke. Hemorrhagic strokes are caused by tissue injuries which result to compression of the tissues. This is mainly from an expanding hematoma and can either distort or injure tissues. The two most important risk factors are high blood pressure and arterial fibrillation. High blood pressure or hypertension causes about thirty five to fifty percent of the all stroke cases. High blood pressure may lead to a detachment of embolism increasing the risk of blockage of CNS blood vessels. On the other hand, arterial fibrillation accounts for about five percent of all case of stroke. Other minor risk factors include high amount of cholesterol in the blood which increase the risk for embolism, diabetes mellitus which increases the risk for hypertension and hyperlidimia, Anticoagulation drugs like warfarin which increase the risk for bleeding, surgical procedures and nutrition factors. (Mohr et al., 2004) How to cite A Portion of The Aging Population, Papers

I Agree with the Principals Decision of Making Extracurricular Activities Mandatory Essay Example For Students

I Agree with the Principals Decision of Making Extracurricular Activities Mandatory Essay Almost every student, at one point, has participated or will participate in an extracurricular activity, whether it be athletic, academic, artistic, or altruistic. Through these activities, students learn valuable life skills and build friendships that last a lifetime. However, a large amount of students do not receive these numerous benefits as they do not participate in extracurricular activities. For this reason, the principal has decided to mandate at least one extracurricular activity for all students. I strongly agree with this decision because extracurricular activities increase academic performance, keep students out of trouble and improve social and mental health. First and foremost, extracurricular activities increase academic performance of students in a myriad of ways. Students who are struggling in their classes have an opportunity to receive remediation that may not be allowed be the time constraints of a school day. Moreover, because they have time to get teacher help after school, they have more individualized instruction and assistance that a class size of 30 students just doesn’t permit. However, for students already excelling in academics, some extracurricular activities offer those high-achieving students to take their performance to the next level. Through such activities as Mathcounts, Technology Student Association, Debate, and Model United Nations, students already doing well in school have the chance to compete with other advanced students in competitions that challenge their critical thinking skills and their speed in skills learned in school. Furthermore, for all students, some extracurriculars provide incentives to do well in school; National Junior Honor Society, for example, recognizes students wit. .then they can stay after school in order to avoid the insecure situation at home and take their focus off the situation by being involved in activities that they truly love to do. Because students in extracurricular activities have this increased social well-being and protection from risky environments, they are much less likely suffer from depression, and they would have increased mental health overall. In these ways, having mandated extracurricular activities benefit the students’ social and mental health. The principal has decided to mandate at least one extracurricular activity for all students. I strongly agree with this decision because extracurriculars increase academic performance, keep students out of trouble, and improve the social and mental health of the student body. As extracurriculars benefit students in so many ways, this mandate should be imposed.