June 20, 2020 0 Comments

“This book is the Bible for anyone who needs to manage large data collections. Managing Gigabytes: Compressing and Indexing Documents and Images. Managing Gigabytes: Compressing and Indexing Documents and. Images-Ian H. Witten, Alistair Moffat, and Timothy C. Bell (New. York: Van Nostrand Reinhold. Managing Gigabytes: Compressing and Indexing Documents and Images. 3. Author(s). I.H. Witten ; A. Moffat ; T.C. Bell. View All Authors. Sign In or Purchase.

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These items are shipped from and sold by different sellers. Buy the selected items together This item: Compressing and Indexing Documents and Images ] [Author: Ships from and sold by Neal Moss. Introduction to Information Retrieval by Christopher D. Ships from and sold by Amazon. Customers who bought this item also bought.

Page 1 of 1 Start over Page 1 of 1. Introduction to Information Retrieval. Text Data Management and Analysis: Dive into the Future of Infrastructure. Product details Hardcover Publisher: View shipping rates and policies Average Customer Review: Try the Kindle edition and experience these great reading features: Share your thoughts with other customers. Write a customer review. Showing of 8 reviews. Top Reviews Most recent Top Reviews.

There was a problem filtering reviews right now. Please try again later. While this book was published almost two decades ago, it is still the best introductory text to the topic of information retrieval. What distinguishes this book from is that it doesn’t assume any previous knowledge – technical or otherwise – on the topic, and builds all ideas and concepts presented from the ground up.

While the some of the algorithms presented have since become obsolete, many are still relevant and in use today, and all provide the reader with a solid foundation. It also explains in a clear and concise manner the problems and challenges that all IR-systems and search engines have to solve, even today. It’s the Only One. This is the only book there is that will actually teach you how to build an information retrieval system aka search engine.

It discusses all the algorithms and tradeoffs, and comes with free downloadable source code to experiment with. Some of the material is standard, but covered in more implementation detail here than anywhere else. Some of the material is novel: But with “Managing Gigabytes”, it’s all here. Although, after a particularly envigorating discussion of how to string together a bunch of techniques to compress their corpus and save a couple MB, I did a check and found you could buy MB of RAM for less than the cost of the book.


Knowledge is Power, but sometimes a little cash is more powerful. RAM and disk are cheap, but not that cheap, and for now terabytes and sometimes petabytes are managed only by NASA, Google, and a few others. I can’t wait to see the third edition! Managing Gigabytes is the best book out there on information retrieval. If you’re interested in implementing your own IR system, there’s nothing available that comes close to this book.

But the book is good not just because it’s the only one out there: Additionally, the coverage of compression algorithms is the best I’ve found in any book.

All algorithms and pseudo-code in the book are presented clearly enough such that any competent programmer should be able to implement them. If all else fails, however, the free downloadable source code for the mg system can fill in any gaps.

All in all, this is the best computer science book I’ve purchased in years. I wish all CS books were written like this one: A wonderful feature of this book spans out practicality for various topics including compresion algorithms and theory, document and imaging system and information retrieval.

Managing Gigabytes

On my personal interest, the authors highlight a vast list of not only the theory but present it in a simple common sense logic. There are several examples that break down complex processes into simple and easy to understand logic and the pages provides a smooth flow of the structured topics.

Well organised, presented and fully informative. Truly an ideal book. This serves as a superior text for students studying document and imaging systems, processing and information and multimedia retrieval subjects. Just on a personal note, it would be great to see some emphasis in the future editions in regards to web mining applications. It has been 8 years since it was published and I could see it is still one of the best in IR field.

Without much long magic equations, it is not hard for common user to pick it up. There are mainly 2 parts in the book, the first book is compression, most of them are just principle introduction since it does not make sense for the read to invent or implement an algorithm.

The second part is indexing plus some query which I highly recommended because it is “practical”. The authors are smart guys who could do sth, google mg for their website and mg4j for the ported java implementation. As others have said, MG is a good introductory text for Information Retrieval.


However I think it spends a little too much time on compression techniques and lacks a good discussion of incremental or on-line indexing. The book tends to assume that the set of texts to be indexxing is static – if new documents can be added or old ones deleted it makes the whole problem much harder and many of MG’s techniques are no longer relevant.

That said, I strongly look forward to Managing Terabytes if it ever appears. I found MG exceedingly readable, and particularly useful. The ideas are very well explained, and the problems are solved in a stepwise fashion, leading from a simple, inefficient solution to a problem to a more complex, efficient one.

Where appropriate, pseudocode is included to communicate the algorithms unambiguously.

Managing Gigabytes : Alistair Moffat :

I use the free MG gigabtes in my research on information retrieval, and this book is an indispensible supplement to the software. The ideas on compression and efficiency described in the book and implemented in the software are the best that I know of in the public domain, and I’ve looked! You can clearly see that the authors have a genuine interest in the field! But, I would like some more theoretical analysis of the algorithms used i.

O-notationand more focus on parallell implementations of IR systems. Another book related to the same area worth mentioning is “Modern Information Retrieval”. See all 8 reviews. Customers who viewed this item also viewed.

Information Retrieval in Practice.

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Managing Gigabytes : Compressing and Indexing Documents and Images, Second Edition

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