Kamis, 28 Juli 2011

[J958.Ebook] PDF Download Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining), by Sam

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Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining), by Sam

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning�

This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields.

  • �Includes case studies where data mining techniques have been effectively applied to advance teaching and learning
  • Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students
  • Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students
  • Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics

Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

Samira ElAtia is Associate Professor of Education at The University of Alberta, Canada. She has published numerous articles and book chapters on topics relating to the use of technology to support pedagogical research and education in higher education. Her current research focuses on using e-learning environment and big data for fair and valid longitudinal assessment of, and for, learning within higher education.

Donald Ipperciel is Principal and Professor at Glendon College, York University, Toronto, Canada and was the Canadian Research Chair in Political Philosophy and Canadian Studies between 2002 and 2012. He has authored several books and has contributed chapters and articles in more than 60 publications.� Ipperciel has dedicated many years of research on the questions of e-learning and using technology in education. He is co-editor of the Canadian Journal of Learning and Technology since 2010.

Osmar R.�Za�ane is Professor of Computing Science at the University of Alberta, Canada and Scientific Director of the Alberta Innovates Centre of Machine Learning. A renowned researcher and computer scientist, Dr. Zaiane is former Secretary Treasurer of the Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining. He obtained the IEEE ICDM Outstanding Service Aware in 2009 as well as the ACM SIGKDD Service Award the following year.

  • Sales Rank: #7942557 in Books
  • Published on: 2016-09-26
  • Original language: English
  • Dimensions: 8.27" h x .87" w x 5.91" l, 1.47 pounds
  • Binding: Hardcover
  • 320 pages

From the Back Cover

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning

This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields.

  • Includes case studies where data mining techniques have been effectively applied to advance teaching and learning
  • Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students
  • Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students
  • Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics

Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

Samira ElAtia is Associate Professor of Education at The University of Alberta, Canada. She has published numerous articles and book chapters on topics relating to the use of technology to support pedagogical research and education in higher education. Her current research focuses on using e-learning environment and big data for fair and valid longitudinal assessment of, and for, learning within higher education.

Donald Ipperciel is Principal and Professor at Glendon College, York University, Toronto, Canada and was the Canadian Research Chair in Political Philosophy and Canadian Studies between 2002 and 2012. He has authored several books and has contributed chapters and articles in more than 60 publications.� Ipperciel has dedicated many years of research on the questions of e-learning and using technology in education. He is co-editor of the Canadian Journal of Learning and Technology since 2010.

Osmar R. Zaiane is Professor of Computing Science at the University of Alberta, Canada and Scientific Director of the Alberta Innovates Centre of Machine Learning. A renowned researcher and computer scientist, Dr. Zaiane is former Secretary Treasurer of the Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining. He obtained the IEEE ICDM Outstanding Service Aware in 2009 as well as the ACM SIGKDD Service Award the following year.�

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Selasa, 26 Juli 2011

[Z921.Ebook] Ebook The Classic Tales: 4,000 Years of Jewish Lore

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The Classic Tales: 4,000 Years of Jewish Lore

  • Sales Rank: #8108681 in Books
  • Published on: 1989-06-01
  • Number of items: 2
  • Binding: Hardcover

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Senin, 25 Juli 2011

[G866.Ebook] PDF Ebook Model Car Builder No. 5: Tips, Tricks, How-tos, and Feature Cars, by Roy R. Sorenson

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Model Car Builder No. 5: Tips, Tricks, How-tos, and Feature Cars, by Roy R. Sorenson

In this issue of MCB we show you how to replicate Gary Meadors very famous '32 sedan, part one on scratchbuilding a full tube chassis, airbrush tips, Chris Hales GT40 is one of our feature cars, Eric Ellerbusch's "Best of Show" '49 Ford being the other! We review the "How to Build Championship Scale Vehicles" book, and then build some very weird motors!

  • Sales Rank: #1412833 in Books
  • Published on: 2012-11-18
  • Original language: English
  • Dimensions: 11.00" h x .9" w x 8.50" l,
  • Binding: Paperback
  • 36 pages

Most helpful customer reviews

1 of 1 people found the following review helpful.
Four Stars
By Keith O'Bryan
Good mag. Lots of ideas, I do wish they went into a little more detail though

1 of 1 people found the following review helpful.
Three Stars
By william brosch
Full of photos but not enough tech details.

0 of 0 people found the following review helpful.
It was great! This was a let down from that
By Ron Holt
It wasn't what I hoped it would be. I remember Plastic Fanatic, which was published by Roy. It was great! This was a let down from that. Not as good a "how to" magazine. Nice builds he does but not really a learning experience.

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Jumat, 22 Juli 2011

[Z310.Ebook] Ebook Commodities and Commodity Derivatives: Modelling and Pricing for Agriculturals, Metals and Energy, by Helyette Geman

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Commodities and Commodity Derivatives: Modelling and Pricing for Agriculturals, Metals and Energy, by Helyette Geman

The last few years have been a watershed for the commodities, cash and derivatives industry. New regulations and products have led to an explosion in the commodities markets, creating a new asset for investors that includes hedge funds as well as University endowments, and has resulted in a spectacular growth in spot and derivative trading.

This book covers hard and soft commodities (energy, agriculture and metals) and analyses:

  • Economic and geopolitical issues in commodities markets
  • Commodity price and volume risk
  • Stochastic modelling of commodity spot prices and forward curves
  • Real options valuation and hedging of physical assets in the energy industry

It is required reading for energy companies and utilities practitioners, commodity cash and derivatives traders in investment banks, the Agrifood business, Commodity Trading Advisors (CTAs) and Hedge Funds.

In Commodities and Commodity Derivatives, Hélyette Geman shows her powerful command of the subject by combining a rigorous development of its mathematical modelling with a compact institutional presentation of the arcane characteristics of commodities that makes the complex analysis of commodities derivative securities accessible to both the academic and practitioner who wants a deep foundation and a breadth of different market applications. It is destined to be a "must have" on the subject.”
—Robert Merton, Professor, Harvard Business School

"A marvelously comprehensive book of interest to academics and practitioners alike, by one of the world's foremost experts in the field."
—Oldrich Vasicek, founder, KMV

  • Sales Rank: #1119915 in Books
  • Brand: Brand: Wiley
  • Published on: 2005-03-11
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.70" h x 1.20" w x 6.50" l, 2.06 pounds
  • Binding: Hardcover
  • 416 pages
Features
  • Used Book in Good Condition

Review
"...expect to see this book become the bible of the field..." (Short Book Review, June 2006)

From the Back Cover
The last few years have been a watershed for the commodities, cash and derivatives industry. New regulations and products have led to an explosion in the commodities markets, creating a new asset for investors that includes hedge funds as well as university endowments, and has resulted in substantial growth in spot derivative trading.

This book covers hard and soft commodities (energy, agriculture and metals) and analyses:

  • Economic and geopolitical issues in commodities markets
  • Commodity price and volume risk
  • Stochastic modelling of commodity spot prices and forward curves
  • Real options valuation and hedging of physical assets in the energy industry.

It is required reading for energy companies and utilities practitioners, Commodity cash and derivatives traders in investment banks, the Agrifood business, Commodity Trading Advisors (CTAs) and Hedge Funds.

"In Commodities and Commodity Derivatives, Hélyette Geman shows her powerful command of the subject by combining a rigorous development of its mathematical modelling with a compact institutional presentation of the arcane characteristics of commodities that makes the complex analysis of commodities derivative securities accessible to both the academic and practitioner who wants a deep foundation and a breadth of different market applications. It is destined to be a "must have" on the subject."
–Robert Merton, Professor, Harvard Business School

"A marvelously comprehensive book of interest to academics and practitioners alike, by one of the world's foremost experts in the field."
–Oldrich Vasicek, founder, KMV

About the Author
Helyette Geman is a Professor of Finance at the University Paris Dauphine and ESSEC Graduate Business School. She is a graduate of the Ecole Normale Superieure in mathematics, holds a Masters degree in theoretical physics and a PhD in mathematics from the University Pierre et Marie Curie and a PhD in Finance from the University Pantheon Sorbonne. Professor Geman has been a scientific advisor to a number of major energy companies for the last decade, covering the spectrum of oil, natural gas and electricity as well as agricultural commodities origination and trading. She was previously the head of Research and Development at Caisse des Depots. She has published more than 40 papers in major finance journals including the Journal of Finance, Mathematical Finance, Journal of Financial Economics, Journal of Banking and Finance and Journal of Business. She has also written a book entitled Insurance and Weather Derivatives’. Professor Geman’s research includes asset price modelling using jump-diffusions and Levy processes, commodity forward curve modelling and exotic option pricing for which she won the first prize of the Merrill Lynch Awards.

Most helpful customer reviews

0 of 0 people found the following review helpful.
you (should) have heard of this book and would highly recommend. You should also look at Espen Gaarder Haug's ...
By AdventureMK
The authority on commodity derviatives. If you trade derivs in commodity markets, you (should) have heard of this book and would highly recommend. You should also look at Espen Gaarder Haug's "The Complete Guide to Option Pricing Formulas" if for the only reason that it includes a computer CD w/ excel spreadsheets and VBA code for all the pricing models he discusses, which is the same and more that Geman covers. Geman does a great job of explaining the options market, volatility, downsides of black-scholes. My favorite explanations were those on the greeks: I think the most clear and concise (as possible) explanations you'll find anywhere.

1 of 1 people found the following review helpful.
Great book if you're interested in advanced trading systems for non-financial futures and options
By Amazon Customer
I came to this book via a somewhat circuitous path. I was researching the use of Fast Fourier Transforms in computational finance and came to this paper: Option Valuation Using the Fast Fourier Transform (Carr, Madan 1999). That led to something called the Variance Gamma distribution. More recent papers yielded references to the CGMY model, where C is Carr, M is Madan, G is Hélyette Geman and Y is Marc Yor. And that led to Geman and this book.

Despite those heavy academic origins, the book is well-written and should be accessible to practitioners in trading system design. It's especially comprehensive in its description of energy trading. There's an entire chapter on Monte Carlo and analytic solutions for pricing Asian, barrier and quanto options, for example. Oil, gas, electricity and even coal and weather markets are covered. The book does not, for the most part, talk about financial derviatives - options and futures traded on stock indexes, currencies or interest rates.

2 of 3 people found the following review helpful.
Readable and Thorough Introduction
By Amazon Customer
Two aspects of Prof. Geman's book are immediately distinguishing: it is quantitative and it is not propaganda. You won't read about how you can make millions trading commodities NOW! in this book; you will read about some of the quirks of these markets and how those quirks an affects the modeling.

Equally important is that I found the book eminently readable. As one reviewer noted, there are occasionally clumsy phrases that read like transliterated French; however, I preferred Geman's chapters to those written by "guest authors." Overall, the tone and order of exposition are so engaging that I read the book completely (instead of skimming or reading only for needed information).

The only suggestion I would make is to also purchase Dunsby et al.'s book on commodities; the two are great complements.

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Kamis, 21 Juli 2011

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  • Sales Rank: #3279275 in Books
  • Published on: 2011-11-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.69" h x .47" w x 7.48" l, .0 pounds
  • Binding: Perfect Paperback
  • 284 pages

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Sabtu, 16 Juli 2011

[R125.Ebook] Ebook Advances in Equine Laparoscopy (AVS Advances in Veterinary Surgery) 1st (first) Edition published

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  • Binding: Hardcover

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Jumat, 08 Juli 2011

[W736.Ebook] Ebook The Military Factor in Nigeria 1966-1985 (African Studies), by Toyin Falola, A. Ajayi, A. Alao, B. Babewale

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This is a comprehensive, analytical and empirical analysis of the military variable in Nigerian politics. The authors focus on the relationship between the politicized institution of the military and such varied facets of society as culture, the press, the economy, federalism, religion and foreign policy. The voluminous work attempts an original, informed, comparative and balanced approach. The authors rely on both Western and local sources in their bibliographic references.

  • Published on: 1994-03
  • Original language: English
  • Dimensions: 9.50" h x 6.50" w x .75" l,
  • Binding: Hardcover
  • 252 pages

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