Picture 1 of 1
Nii O. Attoh-Okine Big Data and Differential Privacy (Hardback) (UK IMPORT)
Another great item from Rarewaves | Free delivery!
Condition:
2 available
Shipping:
Located in: GU14 0GT, United Kingdom
Delivery:
Varies
Returns:
Payments:
Shop with confidence
Seller information
- 98.4% positive feedback
Registered as a Business Seller
Seller assumes all responsibility for this listing.
eBay item number:305345838101
Item specifics
- Condition
- Book Title
- Big Data and Differential Privacy
- Publication Name
- Big Data and Differential Privacy : Analysis Strategies for Railway Track Engineering
- Title
- Big Data and Differential Privacy
- Subtitle
- Analysis Strategies for Railway Track Engineering
- Format
- Hardcover
- EAN
- 9781119229049
- ISBN
- 9781119229049
- Publisher
- Wiley & Sons, Incorporated, John
- Genre
- Business & Finance
- Topic
- Technology & Engineering
- Release Year
- 2017
- Release Date
- 01/08/2017
- Language
- English
- Country/Region of Manufacture
- US
- Item Height
- 0.8in
- Item Length
- 9.3in
- Item Width
- 6.3in
- Item Weight
- 18.4 Oz
- Series
- Wiley Series in Operations Research and Management Science Ser.
- Publication Year
- 2017
- Type
- Textbook
- Number of Pages
- 272 Pages
About this product
Product Information
A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today's most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such as the Union Pacific Railroad's use of big data to reduce train derailments, increase the velocity of shipments, and reduce emissions. In addition to providing an overview of the latest software tools used to analyze the large amount of data obtained by railways, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering - Features a unified framework for handling large volumes of data in railway track engineering using predictive analytics, machine learning, and data mining - Explores issues of big data and differential privacy and discusses the various advantages and disadvantages of more conventional data analysis techniques - Implements big data applications while addressing common issues in railway track maintenance - Explores the advantages and pitfalls of data analysis software such as R and Spark, as well as the Apache(TM) Hadoop(R) data collection database and its popular implementation MapReduce Big Data and Differential Privacy is a valuable resource for researchers and professionals in transportation science, railway track engineering, design engineering, operations research, and railway planning and management. The book is also appropriate for graduate courses on data analysis and data mining, transportation science, operations research, and infrastructure management. NII ATTOH-OKINE, PhD, PE is Professor in the Department of Civil and Environmental Engineering at the University of Delaware. The author of over 70 journal articles, his main areas of research include big data and data science; computational intelligence; graphical models and belief functions; civil infrastructure systems; image and signal processing; resilience engineering; and railway track analysis. Dr. Attoh-Okine has edited five books in the areas of computational intelligence, infrastructure systems and has served as an Associate Editor of various ASCE and IEEE journals.
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119229049
ISBN-13
9781119229049
eBay Product ID (ePID)
234901244
Product Key Features
Publication Name
Big Data and Differential Privacy : Analysis Strategies for Railway Track Engineering
Format
Hardcover
Language
English
Series
Wiley Series in Operations Research and Management Science Ser.
Publication Year
2017
Type
Textbook
Number of Pages
272 Pages
Dimensions
Item Length
9.3in
Item Height
0.8in
Item Width
6.3in
Item Weight
18.4 Oz
Additional Product Features
Lc Classification Number
Tf241.A88 2017
Table of Content
Preface xi Acknowledgments xiii 1 Introduction 1 1.1 General 1 1.2 Track Components 2 1.3 Characteristics of Railway Track Data 4 1.4 Railway Track Engineering Problems 6 1.5 Wheel-Rail Interface Data 11 1.6 Geometry Data 15 1.7 Track Geometry DegradationModels 20 1.8 Rail Defect Data 25 1.9 Inspection and Detection Systems 33 1.10 Rail Grinding 37 1.11 Traditional Data Analysis Techniques 40 1.12 Remarks 41 References 42 2 Data Analysis - Basic Overview 49 2.1 Introduction 49 2.2 Exploratory Data Analysis (EDA) 49 2.3 Symbolic Data Analysis 53 2.4 Imputation 54 2.5 Bayesian Methods and Big Data Analysis 56 2.6 Remarks 57 References 57 3 Machine Learning: A Basic Overview 59 3.1 Introduction 59 3.2 Supervised Learning 60 3.3 Unsupervised Learning 61 3.4 Semi-Supervised Learning 61 3.5 Reinforcement Learning 61 3.6 Data Integration 63 3.7 Data Science Ontology 63 3.8 Imbalanced Classification 69 3.9 Model Validation 70 3.10 Ensemble Methods 71 3.11 Big P and Small N (P ' N) 74 3.12 Deep Learning 79 3.13 Data Stream Processing 95 3.14 Remarks 105 References 105 4 Basic Foundations of Big Data 113 4.1 Introduction 113 4.2 Query 116 4.3 Taxonomy of Big Data Analytics in Railway Track Engineering 123 4.4 Data Engineering 124 4.5 Remarks 130 References 130 5 Hilbert-Huang Transform, Profile, Signal, and Image Analysis 133 5.1 Hilbert-Huang Transform 133 5.2 Axle Box Acceleration 150 5.3 Analysis 151 5.4 Remarks 153 References 153 6 Tensors - Big Data in Multidimensional Settings 157 6.1 Introduction 157 6.2 Notations and Definitions 158 6.3 Tensor Decomposition Models 161 6.4 Application 164 6.5 Remarks 170 References 171 7 Copula Models 175 7.1 Introduction 175 7.2 Pair Copula: Vines 184 7.3 Computational Example 186 7.4 Remarks 192 References 193 8 Topological Data Analysis 197 8.1 Introduction 197 8.2 Basic Ideas 197 8.3 A Simple Railway Track Engineering Application 203 8.4 Remarks 204 References 204 9 Bayesian Analysis 207 9.1 Introduction 207 9.2 Markov Chain Monte Carlo (MCMC) 210 9.3 Approximate Bayesian Computation 210 9.4 Markov Chain Monte Carlo Application 216 9.5 ABC Application 219 9.6 Remarks 221 References 222 10 Basic Bayesian Nonparametrics 225 10.1 General 225 10.2 Dirichlet Family 226 10.3 Dirichlet Process 227 10.4 Finite Mixture Modeling 231 10.5 Bayesian Nonparametric Railway Track 232 10.6 Remarks 233 References 233 11 Basic Metaheuristics 235 11.1 Introduction 235 11.2 Remarks 237 References 239 12 Differential Privacy 241 12.1 General 241 12.2 Differential Privacy 242 12.3 Remarks 247 References 247 Index 249
Copyright Date
2017
Topic
Differential Equations / General, Probability & Statistics / General, Civil / Transportation, Security / General
Lccn
2017-005398
Dewey Decimal
625.14028557
Intended Audience
Scholarly & Professional
Dewey Edition
23
Genre
Computers, Technology & Engineering, Mathematics
Item description from the seller
Business seller information
Value Added Tax Number:
- GB 864 1548 11
Seller assumes all responsibility for this listing.
eBay item number:305345838101
Shipping and handling
Item does not ship to United States
Item location:
GU14 0GT, United Kingdom
Ships to:
Albania, Algeria, American Samoa, Americas, Andorra, Angola, Anguilla, Antigua and Barbuda, Argentina, Armenia, Aruba, Asia, Azerbaijan Republic, Bahamas, Bahrain, Bangladesh, Barbados, Belgium, Belize, Benin, Bermuda, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, British Virgin Islands, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Cape Verde Islands, Cayman Islands, Central African Republic, Chad, Chile, China, Colombia, Comoros, Cook Islands, Costa Rica, Cyprus, Czech Republic, Côte d'Ivoire (Ivory Coast), Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Ethiopia, Europe, Falkland Islands (Islas Malvinas), Fiji, Finland, French Guiana, French Polynesia, Gabon Republic, Gambia, Georgia, Ghana, Gibraltar, Greece, Greenland, Grenada, Guadeloupe, Guam, Guatemala, Guernsey, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iraq, Israel, Jamaica, Japan, Jersey, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Liechtenstein, Lithuania, Luxembourg, Macau, Macedonia, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Martinique, Mauritania, Mauritius, Mayotte, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Montserrat, Morocco, Mozambique, Namibia, Nepal, Netherlands Antilles, New Caledonia, New Zealand, Nicaragua, Niger, Nigeria, Niue, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Puerto Rico, Qatar, Republic of Croatia, Republic of the Congo, Reunion, Romania, Rwanda, Saint Helena, Saint Kitts-Nevis, Saint Lucia, Saint Pierre and Miquelon, Saint Vincent and the Grenadines, San Marino, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, South Korea, Sri Lanka, Suriname, Svalbard and Jan Mayen, Swaziland, Sweden, Taiwan, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Turks and Caicos Islands, Tuvalu, Uganda, United Arab Emirates, Uruguay, Uzbekistan, Vanuatu, Vatican City State, Venezuela, Vietnam, Virgin Islands (U.S.), Wallis and Futuna, Western Sahara, Western Samoa, Zambia, Zimbabwe
Excludes:
Afghanistan, Australia, Austria, Belarus, France, Germany, Ireland, Italy, Libya, Nauru, Netherlands, Russian Federation, Somalia, Spain, Switzerland, Ukraine, United Kingdom, United States, Yemen
Handling time |
---|
Will usually ship within 3 business days of receiving cleared payment. |
Taxes |
---|
Taxes may be applicable at checkout. Learn moreLearn more about paying tax on eBay purchases |
Sales tax for an item #305345838101
Sales tax for an item #305345838101
Seller collects sales tax for items shipped to the following provinces:
Province | Sales Tax Rate |
---|
Return policy
After receiving the item, contact seller within |
---|
30 days after the buyer receives it |
The buyer is responsible for return shipping costs.
Payment details
Payment methods
Popular categories from this store
Seller feedback (182,760)
u***n (38)- Feedback left by buyer.
Past 6 months
Verified purchase
Product is 95% alike picture but a little more blurry. Controller play well but had a notice from psn that my joypad wasn't authentic and could by problematic🤷♂️ no trouble so far! Shipping was fast but no tracking and worst packaging ever.. like the box came banged up... send a question to seller never had a reply 😅.... Good product overall, excellent price, fast shipping, wrapped only on 4 sides out of 6, no tracking and never reply... 4★ product / 2★ seller ✌️
l***t (120)- Feedback left by buyer.
Past 6 months
Verified purchase
The book is in perfect condition, brand new, and is exactly as described. This item is difficult to find here, and the seller priced it very reasonably. It shipped from the UK to Canada, and unfortunately took a little longer to arrive than the seller hoped, but it was shipped less than 24 hours after I purchased. When I contacted the seller, they were very responsive and helpful. I would not hesitate to purchase from this seller again. Definitely recommend!
s***a (696)- Feedback left by buyer.
Past month
Verified purchase
AAA seller. Item came as described and within the due date. Great communication. Well packed and no damage to the case.
Product ratings and reviews
More to explore:
- O, Oprah Magazines,
- Teacher Big Books,
- Big Little Books Antiquarian & Collectible Books,
- O, Oprah 1st Edition Magazines,
- Big Finish Productions Audiobooks,
- O, Oprah Monthly Magazines,
- O, Oprah Celebrity Magazines,
- Doctor Who Big Finish Productions Audiobooks,
- Big Little Books Children's Antiquarian & Collectible Books,
- Big Little Books Classics Antiquarian & Collectible Books