Predictive text

If 1 wr 2 mk der paprz n txtese, wdnt it b g8 m8? Translation: If one were to compose their papers in text messaging lingo, wouldn’t it be great mate? From my perspective and hopefully yours as well, the answer to that question would be a capitol no, with a sad face emote. The purpose of this study was to determine if students who texted in excess of fifty times per day displayed below average formal writing skills. PhD Nenagh Kemp from the School of Psychology located at the prestigious University

As we all know, everyone who has a phone is guilty of texting. Especially those with a smart phone. The use of informal language has become a widespread problem today due to the use of text messaging among one another. Many people engage in conversations and do not even realize that they are using improper grammar majority of the time, along with informal speaking. This also has become very popular in society because of the improper language being used, also known as “slang.” However, there are

Since the first text message was sent in 1992 digital communication has affected our lives in both positive and negative ways. It has changed the way we run our lives, making us more efficient, more effective human beings. However many people claim that digital communication has had a purely negative impact on our civilisation. They believe the only product from digital communication is laziness. It is widely believed that the current generation is more lethargic then any other that came before it

Introduction Predictive Analytics is quantitative analysis to support predictions. Predictions of for example - product sales, costs, headcount, metrics; customer churn; credit scoring; cross sell / up sell opportunities; market campaign response; anomalies, fraud. SAP Predictive Analytics is business intelligence software from SAP that is designed to enable organizations to analyze large data sets and predict future outcomes and behaviors. For example, SAP Predictive Analytics can help make sense

Great minds think alike, unfortunately no two are the same? It would be beneficial for all to put our minds to the inevitable changes that the future holds, although change is difficult for most people. The world is changing into a process that no one imagines, yet people want to achieve the finest for an inexpensive cost. Envisioning what would happen in health information technology in five years is stress-free, hence we live in a real world and achieving the finest and inexpensive cost are a

Data Analytics Abstract This report outlines how data from EHR can be used towards Meaningful Use (MU), Big Data Analysis, Machine Learning and Advanced Computing for better healthcare decision making process. Will try to understand EHR’s ability to integrate with other systems and tools for data sharing/mining and how this is transforming into better care management. Health Information Technology for Economic and Clinical Health (HITECH) MU EHR incentive program have provided the much needed “push”

difficult to get a job which adapts to your skill and also on the other hand the employers have a long process of multiple interviews which does not gives them concise results after this process. To resolve this tedious process, we have proposed the predictive analysis recruitment model which will implement a new methodology that will improve the accuracy of commissioning. In this paper, with using knowledge base, we will propose a model for designing a system to predict the recruitment process using

Optimization, Data Hub, Reporting/Metrics, Traditional Data Warehouse Replacement, Predictive Modeling, Telemetry, and Time Series Analysis. Hortonworks: Sentiment Graphing and Social Graphs (Marketing), Click Stream Analysis (Internet Marketing), Network Security, IT Compliance (HIPAA, Sarbanes Oxley, etcetc.), Sensor Data (“Internet of Things”), Predictive Analytics and Proactive Maintenance, Location Data Analysis, Text Analysis (Legal Discovery, Insurance Underwriting, and Application Risk Screening)

The impact of big data to businesses CIS 5681 Research Project Big Data Solution for Businesses Summer 2015 06/24/2015 Sai Kireety Kokkiligadda Sxk77140@ucmo.edu   Abstract Big data is buzzword in every field of business as well as research. Organizations have found its application across various sectors from Sports to Security, from Healthcare to e-Commerce. Information when rightly put in use can cease the market. For instance, with the rise of smart phone purchases, transactions through mobile

business reporting • Fraud and internal control • Cybersecurity • The risk intelligent enterprise: enterprise risk management • Business reporting, visual analytics, and business performance management • Data mining • Techniques for predictive modeling • Text analytics, text mining, and sentiment analytics • Model-based decision making: optimization and multi-criteria