The Complete Idiot's Guide to Starting a Band

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The Complete Idiot's Guide to Starting a Band
Mark Bliesener , and Steve Knopper
Manufacturer: Alpha
ProductGroup: Book
Binding: Paperback

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So, You Wanna Be a Rock Star?: How to Create Music, Get Gigs, and Maybe Even Make It Big! (So, You Wanna Be . . .)

Managing Your Band: Artist Management: The Ultimate Responsibility

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Songwriting for Dummies

ASIN: 1592571816
Release Date: 2004-04-06

Book Description

Take your sound from the garage to the studio.

Expert authors Mark Bliesener and Steve Knopper show musicians how to start a band, keep it together, get gigs and promote them, afford equipment, avoid scams, deal with alcohol and drugs, and even make a CD and video. The book will help readers choose their look, their sound...and even a name!

€ Written by music industry insiders
€ Excellent complement to The Complete Idiot's Guide(r) to Songwriting
€ A unique source for the wisdom that bands usually gain only through painful experience

Customer Reviews:

Solid Info.......2007-07-30

Easy to read. Many clear ideas about the steps and process of becoming a rockstar. Well worth a read. You can jump to certain sections. Marketing, promotions, etc.

Book Description

View the Table of Contents. Read Chapter 1.

"An important contribution to our understanding of the talkshow genre and its cultural political funtion."
— American Journal of Sociology

"A wide-ranging exploration of some key theoretical issues in cultural sociology centerting on subjectivity, sense-making, and cultural heirarchy."
—Contemporary Sociology

"A cogent analysis of our culture."
—The Times

When The Phil Donahue Show topped the ratings in 1979, it ushered in a new era in daytime television. Mixing controversial social issues, light topics, and audience participation, it created a new genre, one that is still flourishing, despite being harshly criticized, over two decades later. Now, the daytime TV landscape is littered with talk shows. But why do people watch these shows? How do they make sense of them? And how do these shows affect their viewers' sense of what constitutes appropriate public debate?

In Talking Trash, Julie Engel Manga offers a fascinating exploration of these questions and reveals the wide range of reasons viewers are drawn to "trash talk." Focusing on such shows as Oprah!, Jerry Springer, Ricki Lake, Jenny Jones, and Maury Povitch, and drawing upon interviews with women who watch these shows, Talking Trash is the first examination of the talk show phenomenon from the viewers' perspective. In taking this approach, Manga is able to understand what talk shows mean to the women who watch them. And by refusing to judge either the shows or their viewers as good or bad, she is able to grasp how viewers relate to these shows-as escape, entertainment, uninhibited public discourse, or an accurate reflection of their own hardships and heartaches. Manga concludes that while the form of "trash-talk" shows may be relatively new, the socio-cultural experience they embody has been with us for a long time.

Absorbing, entertaining, and keenly perceptive, Talking Trash illuminates the complex viewer response to "trash talk" and examines the cultural politics surrounding this wildly controversial popular phenomenon.

Book Description

The petroleum industry is enduring difficult financial times because of the continuing depressed price of crude oil on the world market. This has caused major corporate restructuring and reductions in staff throughout the industry. Because oil exploration must now be done with fewer people under more difficult economic constraints, it is essential that the most effective and efficient procedures be used. Computing Risk for Oil Prospects describes how prospect risk assessment â predicting the distribution of financial gains or losses that may result from the drilling of an exploration well â can be done using objective procedures implemented on personal computers. The procedures include analyses of historical data, interpretation of geological and geophysical data, and financial calculations to yield a spectrum of the possible consequences of decisions. All aspects of petroleum risk assessment are covered, from evaluating regional resources, through delineating an individual prospect, to calculation of the financial consequences of alternative decisions and their possible results. The bottom lines are given both in terms of the probable volumes of oil that may be discovered and the expected monetary returns. Statistical procedures are linked with computer mapping and interpretation algorithms, which feed their results directly into routines for financial analysis. The programs in the included library of computer programs are tailored to fit seamlessly together, and are designed for ease and simplicity of operation. The two diskettes supplied are IBM compatible. Full information on loading is given in Appendix A - Software Installation. Risk I diskette contains data files and executables and Risk 2 diskette contains only executables.

Book Description

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.

The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local "memory-based" models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.

Customer Reviews:

make sure you are right audience.......2005-12-02

It's not that this is a bad book, but you have to make sure you are right audience. The book offers very high-level overviews on various techniques of data mining, but it is almost impossible to learn how to really implement them. Since there are no exercises after each chapter you probably already know who the target audience of the book are.

It shows me many examples.......2005-04-08

Even if it is bad as all the gentlemen said, I think at least it gives me many examples which are not mentioned in other books before.

Very, Very, Very Bad Book !.......2004-12-23

I am a professional in the field of data mining (over 10 years experience). I am always taking classes and reading on the subject. This book was a required text in a grad class I was taking in the evenings. I was excited because I had heard so many good things about it.

The book is indescribably bad.

It is bad if you want theory.
It is bad if you want practical advice.
It is just plain bad.

BAD! BAD! BAD!

Do yourself a favor and go out and get the books by Gordon Linoff et. al. (Mastering Data Mining and Data Mining Techniques). I believe that Amazon will sell you both for not much more money than if you buy this book. Either one of those books is better than this! (I recommend buying both, you won't be sorry!)

SAVE YOUR MONEY, AVOID THIS BOOK !!!

Good book for overall breadth of alogrithms.........2004-08-15

Very good book for a general overview of data mining algorithms. Covers a wide variety of DM approaches.. however lacks concrete examples to clear concepts thoroughly. I especially liked Chapter-5 which gives a general framework to look at any DM algorithm. This clears confusion created by so many diverse algorithms with overlapping concepts and applications.

Great book with a great layout!.......2004-03-15

I'd been struggling with the seemingly infinite ways to approach data mining and this book cleared it all up for me. It is absolutely full of information and is a great base reference. It does not contain complete algorithms or step by step instructions (you can get those anywhere these days) but instead is a comprehensive survey of all the best known methods for data mining. I really like how the authors combined classical mining techniques with more modern ones (ex: Bayesian Networks). Other books try to stay in one camp or the other, all while denying that they use very similar sub-components.

Book Description

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This should prove of value to readers of all kinds, from those whose only use of data mining techniques will be via commercial packages right through to academic researchers.

This book aims to help the general reader develop the necessary understanding to use commercial data mining packages discriminatingly, as well as enabling the advanced reader to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.

Principles of Data Mining and Knowledge Discovery: Third European Conference, PKDD'99 Prague, Czech Republic, September 15-18, 1999 Proceedings (Lecture Notes in Computer Science)

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Principles of Data Mining and Knowledge Discovery: Third European Conference, PKDD'99 Prague, Czech Republic, September 15-18, 1999 Proceedings (Lecture Notes in Computer Science)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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ASIN: 3540664904

Book Description

This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999.
The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.

Knowledge Discovery in Databases: PKDD 2003: 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, ... (Lecture Notes in Computer Science)

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Knowledge Discovery in Databases: PKDD 2003: 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, ... (Lecture Notes in Computer Science)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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ASIN: 3540200851

Book Description

This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.

The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.

Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October ... (Lecture Notes in Computer Science)

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Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October ... (Lecture Notes in Computer Science)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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ASIN: 3540292446

Book Description

This book constitutes the refereed proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2005, held in Porto, Portugal, in October 2005, jointly with ECML 2005.

The 35 revised full papers and 35 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 220 papers submitted to PKDD and 30 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area.

Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, ... (Lecture Notes in Computer Science)

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Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, ... (Lecture Notes in Computer Science)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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General | Computers & Internet | Subjects | Books

Book Description

This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006, held in Berlin, Germany in September 2006, jointly with ECML 2006.

The 36 revised full papers and 26 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 564 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area.

Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September ... (Lecture Notes in Computer Science)

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Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September ... (Lecture Notes in Computer Science)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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Book Description

This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML 2007, the 18th European Conference on Machine Learning.

The 28 revised full papers and 35 revised short papers presented together with abstracts of 4 invited talks were carefully reviewed and selected from 592 papers submitted to both, ECML and PKDD. The papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.

Machine Learning and Data Mining: Introduction to Principles and Algorithms

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Machine Learning and Data Mining: Introduction to Principles and Algorithms
Igor Kononkenko , and Matjaz Kukar
Manufacturer: Horwood Publishing Ltd
ProductGroup: Book
Binding: Paperback

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Principles and Practice of Semantic Web Reasoning: 4th International Workshop, PPSWR 2006, Budva, Montenegro, June 10-11, 2006, Revised Selected Papers (Lecture Notes in Computer Science)

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Principles and Practice of Semantic Web Reasoning: 4th International Workshop, PPSWR 2006, Budva, Montenegro, June 10-11, 2006, Revised Selected Papers (Lecture Notes in Computer Science)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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Book Description

This book constitutes the refereed proceedings of the 4th International Workshop on Principles and Practice of Semantic Web Reasoning, PPSWR 2006, held in Budva, Montenegro in June 2006 as a satellite event of the 3rd Annual European Semantic Web Conference, ESWC 2006.

The 14 revised full papers presented together with 1 invited talk and 6 system demonstrations were carefully reviewed and selected from 25 submissions. The major aspects of semantic Web research are addressed in the papers, namely various forms of reasoning with a strong interest in rule-based languages and methods - ranging from more theoretical work on reasoning methods that can be applied to the semantic Web, concrete reasoning methods and query languages for the semantic Web, to practical applications.

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