Algorithmen und Datenstrukturen: Die Grundwerkzeuge by Martin Dietzfelbinger, Kurt Mehlhorn, Peter Sanders

By Martin Dietzfelbinger, Kurt Mehlhorn, Peter Sanders

Algorithmen bilden das Herzstück jeder nichttrivialen Anwendung von Computern, und die Algorithmik ist ein modernes und aktives Gebiet der Informatik. Daher sollte sich jede Informatikerin und jeder Informatiker mit den algorithmischen Grundwerkzeugen auskennen. Dies sind Strukturen zur effizienten agency von Daten, häufig benutzte Algorithmen und Standardtechniken für das Modellieren, Verstehen und Lösen algorithmischer Probleme. Dieses Buch ist eine straff gehaltene Einführung in die Welt dieser Grundwerkzeuge, gerichtet an Studierende und im Beruf stehende Experten, die mit dem Programmieren und mit den Grundelementen der Sprache der Mathematik vertraut sind. Die einzelnen Kapitel behandeln Arrays und verkettete hear, Hashtabellen und assoziative Arrays, Sortieren und Auswählen, Prioritätswarteschlangen, sortierte Folgen, Darstellung von Graphen, Graphdurchläufe, kürzeste Wege, minimale Spannbäume und Optimierung. Die Algorithmen werden auf moderne Weise präsentiert, mit explizit angegebenen Invarianten, und mit Kommentaren zu neueren Entwicklungen wie set of rules Engineering, Speicherhierarchien, Algorithmenbibliotheken und zertifizierenden Algorithmen. Die Algorithmen werden zunächst mit Hilfe von Bildern, textual content und Pseudocode erläutert; dann werden info zu effizienten Implementierungen gegeben, auch in Bezug auf konkrete Sprachen wie C++ und Java.

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View Updating and Relational Theory: Solving the View Update by C. J. Date

By C. J. Date

Perspectives are digital tables. that suggests they need to be updatable, simply as "real" or base tables are. in reality, view updatability is not just fascinating, it is the most important, for useful purposes in addition to theoretical ones. yet view updating has constantly been a debatable subject. Ever because the relational version first seemed, there was common skepticism as to if (in basic) view updating is even attainable.

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Machine learning approaches to bioinformatics by Yang Z.R.

By Yang Z.R.

This ebook covers a variety of topics in utilizing desktop studying techniques for bioinformatics tasks. The booklet succeeds on key specific beneficial properties. First, it introduces the main customary desktop studying methods in bioinformatics and discusses, with reviews from genuine case experiences, how they're utilized in person bioinformatics tasks. moment, it introduces state of the art bioinformatics learn equipment. The theoretical elements and the sensible components are good built-in for readers to stick to the prevailing techniques in person examine. not like many of the bioinformatics books out there, the content material insurance isn't constrained to simply one topic. A wide spectrum of proper themes in bioinformatics together with systematic information mining and computational platforms biology researches are introduced jointly during this e-book, thereby supplying a good and handy platform for instructing reasons. a vital reference for either ultimate yr undergraduates and graduate scholars in universities, in addition to a finished instruction manual for brand spanking new researchers, this booklet also will function a pragmatic advisor for software program improvement in correct bioinformatics tasks.

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Managing Data in Motion Data Integration Best Practice by April Reeve

By April Reeve

Handling information in movement describes innovations which have been built for considerably lowering the complexity of coping with procedure interfaces and allowing scalable architectures. writer April Reeve brings over 20 years of expertise to provide a vendor-neutral method of relocating info among computing environments and platforms. Readers will study the concepts, applied sciences, and most sensible practices for dealing with the passage of information among computers and integrating disparate facts jointly in an firm setting. the typical companies computing setting is constituted of countless numbers to hundreds of thousands computers which were outfitted, bought, and purchased over the years. the information from those a number of platforms should be built-in for reporting and research, shared for enterprise transaction processing, and switched over from one layout to a different whilst outdated platforms are changed and new structures are received.

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Fundamentals of data structures in Pascal by Ellis Horowitz

By Ellis Horowitz

This has lengthy been the textual content of selection for sophomore/junior point information constitution classes in addition to extra complex courses-no different e-book deals larger intensity or thoroughness. The transparent presentation and coherent association support scholars research easy abilities and achieve a conceptual clutch of set of rules research and knowledge buildings. the recent version beneficial properties: a radical revision of the textual content to make sure greatest readability New and up-to-date sections on summary info forms, amortized complexity, and timber a brand new application disk containing kev workout challenge exercises.

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Probability, Markov chains, queues, and simulation. The by William J. Stewart

By William J. Stewart

Probability, Markov Chains, Queues, and Simulation presents a contemporary and authoritative remedy of the mathematical tactics that underlie functionality modeling. The specific factors of mathematical derivations and diverse illustrative examples make this textbook with no trouble obtainable to graduate and complex undergraduate scholars taking classes during which stochastic techniques play a basic position. The textbook is correct to a wide selection of fields, together with machine technology, engineering, operations examine, records, and mathematics.

The textbook seems on the basics of likelihood thought, from the elemental innovations of set-based chance, via chance distributions, to bounds, restrict theorems, and the legislation of enormous numbers. Discrete and continuous-time Markov chains are analyzed from a theoretical and computational perspective. issues contain the Chapman-Kolmogorov equations; irreducibility; the aptitude, basic, and reachability matrices; random stroll difficulties; reversibility; renewal tactics; and the numerical computation of desk bound and brief distributions. The M/M/1 queue and its extensions to extra normal birth-death strategies are analyzed intimately, as are queues with phase-type arrival and repair tactics. The M/G/1 and G/M/1 queues are solved utilizing embedded Markov chains; the busy interval, residual carrier time, and precedence scheduling are handled. Open and closed queueing networks are analyzed. the ultimate a part of the ebook addresses the mathematical foundation of simulation.

every one bankruptcy of the textbook concludes with an in depth set of routines. An instructor's answer handbook, during which all routines are thoroughly labored out, is additionally on hand (to professors only).

  • Numerous examples remove darkness from the mathematical theories
  • Carefully specific causes of mathematical derivations warrantly a precious pedagogical procedure
  • Each bankruptcy concludes with an in depth set of routines

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Data Stream Management: Processing High-Speed Data Streams by Minos Garofalakis, Johannes Gehrke, Rajeev Rastogi

By Minos Garofalakis, Johannes Gehrke, Rajeev Rastogi

This quantity makes a speciality of the idea and perform of data movement management, and the radical demanding situations this rising area poses for data-management algorithms, structures, and functions. the gathering of chapters, contributed by way of specialists within the box, deals a entire creation to either the algorithmic/theoretical foundations of information streams, in addition to the streaming structures and purposes inbuilt various domains.

A brief introductory bankruptcy presents a short precis of a few simple facts streaming suggestions and types, and discusses the main components of a widespread circulate question processing structure. for that reason, half I specializes in easy streaming algorithms for a few key analytics services (e.g., quantiles, norms, sign up for aggregates, heavy hitters) over streaming information. half II then examines vital ideas for uncomplicated movement mining projects (e.g., clustering, category, common itemsets). half III discusses a few complex subject matters on move processing algorithms, and half IV specializes in approach and language features of information movement processing with surveys of influential method prototypes and language designs. half V then offers a few consultant functions of streaming strategies in several domain names (e.g., community administration, monetary analytics). eventually, the quantity concludes with an summary of present facts streaming items and new program domain names (e.g. cloud computing, giant info analytics, and intricate occasion processing), and a dialogue of destiny instructions during this intriguing field.

The ebook offers a entire review of center strategies and technological foundations, in addition to a variety of structures and purposes, and is of specific curiosity to scholars, academics and researchers within the sector of knowledge movement administration.

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Graph Databases: New Opportunities for Connected Data by Ian Robinson, Jim Webber, Emil Eifrem

By Ian Robinson, Jim Webber, Emil Eifrem

Discover how graph databases can help deal with and question hugely hooked up information. With this sensible publication, you’ll how to layout and enforce a graph database that brings the facility of graphs to endure on a extensive diversity of challenge domain names. even if you must accelerate your reaction to person queries or construct a database that may adapt as your online business evolves, this ebook exhibits you ways to use the schema-free graph version to real-world problems.

This moment variation contains new code samples and diagrams, utilizing the newest Neo4j syntax, in addition to info on new performance. find out how assorted enterprises are utilizing graph databases to outperform their opponents. With this book’s information modeling, question, and code examples, you’ll quick be ready to enforce your individual solution.

  • Model information with the Cypher question language and estate graph model
  • Learn top practices and customary pitfalls while modeling with graphs
  • Plan and enforce a graph database resolution in test-driven fashion
  • Explore real-world examples to profit how and why organisations use a graph database
  • Understand universal styles and elements of graph database architecture
  • Use analytical ideas and algorithms to mine graph database information

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Principles of Data Science by Sinan Ozdemir

By Sinan Ozdemir

Key Features

  • Enhance your wisdom of coding with information technological know-how concept for sensible perception into information technology and analysis
  • More than simply a math classification, easy methods to practice real-world information technological know-how projects with R and Python
  • Create actionable insights and rework uncooked info into tangible value

Book Description

Need to show your abilities at programming into powerful facts technological know-how abilities? rules of information technology is created that can assist you sign up for the dots among arithmetic, programming, and company research. With this ebook, you are going to suppose convinced approximately asking―and answering―complex and complicated questions of your information to maneuver from summary and uncooked facts to actionable ideas.

With a special procedure that bridges the distance among arithmetic and computing device technological know-how, this books takes you thru the complete facts technological know-how pipeline. starting with cleansing and getting ready information, and powerful information mining options and methods, you are going to circulation directly to construct a accomplished photograph of the way every bit of the knowledge technological know-how puzzle matches jointly. research the basics of computational arithmetic and information, in addition to a few pseudocode getting used this present day through facts scientists and analysts. you will get to grips with computer studying, realize the statistical types that assist you take keep an eye on and navigate even the densest datasets, and easy methods to create robust visualizations that converse what your information means.

What you are going to learn

  • Get to grasp the 5 most crucial steps of information science
  • Use your information intelligently and methods to deal with it with care
  • Bridge the space among arithmetic and programming
  • Learn approximately likelihood, calculus, and the way to exploit statistical types to manage and fresh your facts and force actionable results
  • Build and assessment baseline computing device studying models
  • Explore the simplest metrics to figure out the luck of your desktop studying models
  • Create facts visualizations that speak actionable insights
  • Read and follow computer studying innovations for your difficulties and make real predictions

About the Author

Sinan Ozdemir is an information scientist, startup founder, and educator dwelling within the San Francisco Bay region together with his puppy, Charlie; cat, Euclid; and bearded dragon, Fiero. He spent his educational occupation learning natural arithmetic at Johns Hopkins collage prior to transitioning to schooling. He spent a number of years accomplishing lectures on info technological know-how at Johns Hopkins collage and on the basic meeting earlier than founding his personal start-up, Legion Analytics, which makes use of synthetic intelligence and knowledge technological know-how to strength firm revenues teams.

After finishing the Fellowship on the Y Combinator accelerator, Sinan has spent such a lot of his days engaged on his fast-growing corporation, whereas developing academic fabric for information science.

Table of Contents

  1. How to Sound Like an information Scientist
  2. Types of Data
  3. The 5 Steps of knowledge Science
  4. Basic Mathematics
  5. Impossible or unbelievable – a steady creation to Probability
  6. Advanced Probability
  7. Basic Statistics
  8. Advanced Statistics
  9. Communicating Data
  10. How to inform in case your Toaster Is studying – computer studying Essentials
  11. Predictions do not develop on bushes – or Do They?
  12. Beyond the Essentials
  13. Case Studies

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