High Performance Discovery In Time Series by New York University Courant Inst Mathematical Sciences
Overview and Goals Data arriving in time order (a data stream) arises in fields ranging from physics to finance to medicine to music, just to name a few. Often the data comes from sensors (in physics and medicine for example) whose data rates continue to improve dramati cally as sensor technology improves.-
The Science of Programming
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A Theory of Objects
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Numerical Geometry of Non-Rigid Shapes
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Computer Systems
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Algebraic Approaches to Program Semantics
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Set Theory for Computing
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Beauty Is Our Business
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Parameterized Complexity
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A Discipline of Multiprogramming
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Asynchronous Circuits
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The Design of Well-Structured and Correct Programs
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String-Rewriting Systems
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Error-Free Polynomial Matrix Computations
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Prototyping-Oriented Software Development
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An Introduction to Formal Language Theory
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The Synthesizer Generator
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Methods and Applications of Error-Free Computation
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Adaptive Information Processing
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Reliable Computer Systems
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Programming with Sets
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Programming in Modula-2
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Adaptive Signal Processing
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Predicate Calculus and Program Semantics
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Algorithmic Algebra
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Programming with Specifications
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Probabilistic Analysis of Algorithms
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Expert Systems and Probabilistic Network Models
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Algorithmic Language and Program Development
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Object-Oriented Database Programming
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The Design and Analysis of Algorithms
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Software Configuration Management Using Vesta
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The Origins of Digital Computers
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Larch: Languages and Tools for Formal Specification
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What Computing Is All About
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ML with Concurrency
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The Synthesizer Generator Reference Manual
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Language Equations
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On a Method of Multiprogramming
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Programming Methodology
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Abstraction, Refinement and Proof for Probabilistic Systems
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Super-Recursive Algorithms
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Specification and Development of Interactive Systems
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Geometric Fundamentals of Robotics
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Evolutionary Synthesis of Pattern Recognition Systems
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Reverse Engineering of Object Oriented Code
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Panoramic Vision
From the reviews:
"The goal of the book is to show how to design fast scalable algorithms for the analysis of time series when much data must be analyzed… A linear time filter is constructed in such a way that no burst will be missed and nearly all false positives are eliminated. … the book aims at efficient discovery in time series and presents practical algorithms for this task." (Jiri Andel, Mathematical Reviews, 2005)
| SKU | Unavailable |
| ISBN 13 | 9780387008578 |
| ISBN 10 | 0387008578 |
| Title | High Performance Discovery In Time Series |
| Author | New York University Courant Inst Mathematical Sciences |
| Series | Monographs In Computer Science |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2004-06-03 |
| Number of pages | 190 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |