Data Crush

Data Crush
Author: Christopher Surdak
Publisher: AMACOM
Total Pages: 311
Release: 2014-02-18
Genre: Computers
ISBN: 0814433758

This invaluable resource examines the forces behind the explosive growth in data and reveals how the most innovative companies are responding to this challenge. The Internet used to be a tool for telling your customers about your business. Now, it’s real value lies in what it tells you about them. Every move your customers make online can be tracked, catalogued, and analyzed to better understand their preferences and predict their future behavior. With mobile technology like smartphones, customers are online almost every second of every day. The companies that succeed going forward will be those that learn to leverage this torrent of information-without being drowned by it. Data Crush clarifies the key drivers in this emergence, such as: the proliferation of "big data" generated by a never-ending range of online activities (and the mobility that enables much of it); the seemingly infinite array of digital commerce and entertainment pathways; and the rising growth of Cloud computing. These and other factors combine to create an overwhelming universe of valuable information - all constantly updated in real time with billions of mouse clicks each day. It's daunting, but with this onslaught of information comes tremendous opportunity - and Data Crush will help you make sense of it all.

Crash Reconstruction Research

Crash Reconstruction Research
Author: Michael S Varat
Publisher: SAE International
Total Pages: 770
Release: 2008-03-17
Genre: Technology & Engineering
ISBN: 0768020522

The science of crash reconstruction enables engineers to determine the most probable scenario for how and why traffic collisions occur. Ongoing research has continually enhanced crash reconstructionists' knowledge of the application of physical laws in this field. Crash Reconstruction Research: 20 Years of Progress (1988-2007) features 47 papers that have presented significant steps forward, focusing on the following areas within the field of crash reconstruction that have experienced major advances: Planar Impact Mechanics Stiffness Modeling Crash Pulse Analysis Structural Restitution Lateral Deformation and Override/Underride BEV v. Delta-V Rear and Side Impacts Pole Impacts Uncertainty Analysis Pedestrian Crashes Braking Performance

Report

Report
Author:
Publisher:
Total Pages: 632
Release: 1985
Genre: Automobiles
ISBN:

Social Big Data Analytics

Social Big Data Analytics
Author: Bilal Abu-Salih
Publisher: Springer Nature
Total Pages: 218
Release: 2021-03-10
Genre: Business & Economics
ISBN: 9813366524

This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.

PC Mag

PC Mag
Author:
Publisher:
Total Pages: 338
Release: 1996-01-23
Genre:
ISBN:

PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.

Behind Every Good Decision

Behind Every Good Decision
Author: Piyanka Jain
Publisher: AMACOM
Total Pages: 276
Release: 2014-11-05
Genre: Business & Economics
ISBN: 0814449220

There is a misconception in business that the only data that matters is BIG data, and that elaborate tools and data scientists are required to extract any practical information. However, nothing could be further from the truth. If you feel that you can’t understand how to read, let alone implement, these complex software programs that crunch the data and spit out more data, that will no longer be a problem! Authors and analytics experts Piyanka Jain and Puneet Sharma demystify the process of business analytics and demonstrate how professionals at any level can take the information at their disposal and in only five simple steps--using only Excel as a tool--make the decision necessary to increase revenue, decrease costs, improve product, or whatever else is being asked of them at that time. In Behind Every Good Decision, you will learn how to: Clarify the business question Lay out a hypothesis-driven plan Pull relevant data Convert it to insights Make decisions that make an impact Packed with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80 percent of all business problems. It doesn’t take a numbers person to know that is a formula you need!

Predictive Policing

Predictive Policing
Author: Walt L. Perry
Publisher: Rand Corporation
Total Pages: 187
Release: 2013-09-23
Genre: Computers
ISBN: 0833081551

Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.