A Query Framework for Directed Acyclic Graphs (DAGs) PDF Download
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Author: Smriti Yamini
Publisher:
ISBN:
Category :
Languages : en
Pages : 194
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Book Description
Author: Smriti Yamini
Publisher:
ISBN:
Category :
Languages : en
Pages : 194
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Book Description
Author: Christian S. Jensen
Publisher: Springer Nature
ISBN: 3030731979
Category : Computers
Languages : en
Pages : 801
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Book Description
The three-volume set LNCS 12681-12683 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, held in Taipei, Taiwan, in April 2021. The total of 156 papers presented in this three-volume set was carefully reviewed and selected from 490 submissions. The topic areas for the selected papers include information retrieval, search and recommendation techniques; RDF, knowledge graphs, semantic web, and knowledge management; and spatial, temporal, sequence, and streaming data management, while the dominant keywords are network, recommendation, graph, learning, and model. These topic areas and keywords shed the light on the direction where the research in DASFAA is moving towards. Due to the Corona pandemic this event was held virtually.
Author: Mukesh Mohania
Publisher: Springer
ISBN: 3540482989
Category : Computers
Languages : en
Pages : 413
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Book Description
This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September 1999. The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 submissions. The book is divided in topical sections on data warehouse design; online analytical processing; view synthesis, selection, and optimization; multidimensional databases; knowledge discovery; association rules; inexing and object similarities; generalized association rules and data and web mining; time series data bases; data mining applications and data analysis.
Author: Bijaya Ketan Panigrahi
Publisher: Springer
ISBN: 3319037560
Category : Computers
Languages : en
Pages : 696
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Book Description
The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.
Author: Peter Kacsuk
Publisher: Springer Science & Business Media
ISBN: 0387794484
Category : Computers
Languages : en
Pages : 206
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Book Description
DAPSYS (International Conference on Distributed and Parallel Systems) is an international biannual conference series dedicated to all aspects of distributed and parallel computing. DAPSYS 2008, the 7th International Conference on Distributed and Parallel Systems was held in September 2008 in Hungary. Distributed and Parallel Systems: Desktop Grid Computing, based on DAPSYS 2008, presents original research, novel concepts and methods, and outstanding results. Contributors investigate parallel and distributed techniques, algorithms, models and applications; present innovative software tools, environments and middleware; focus on various aspects of grid computing; and introduce novel methods for development, deployment, testing and evaluation. This volume features a special focus on desktop grid computing as well. Designed for a professional audience composed of practitioners and researchers in industry, this book is also suitable for advanced-level students in computer science.
Author: Jeffrey Aven
Publisher: Sams Publishing
ISBN: 0134456726
Category : Computers
Languages : en
Pages : 851
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Book Description
Apache Hadoop is the technology at the heart of the Big Data revolution, and Hadoop skills are in enormous demand. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to deploy each key component of a Hadoop platform in your local environment or in the cloud, building a fully functional Hadoop cluster and using it with real programs and datasets. Each short, easy lesson builds on all that's come before, helping you master all of Hadoop's essentials, and extend it to meet your unique challenges. Apache Hadoop in 24 Hours, Sams Teach Yourself covers all this, and much more: Understanding Hadoop and the Hadoop Distributed File System (HDFS) Importing data into Hadoop, and process it there Mastering basic MapReduce Java programming, and using advanced MapReduce API concepts Making the most of Apache Pig and Apache Hive Implementing and administering YARN Taking advantage of the full Hadoop ecosystem Managing Hadoop clusters with Apache Ambari Working with the Hadoop User Environment (HUE) Scaling, securing, and troubleshooting Hadoop environments Integrating Hadoop into the enterprise Deploying Hadoop in the cloud Getting started with Apache Spark Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Hadoop to solve a wide spectrum of Big Data problems.
Author: Matthias Renz
Publisher: Springer
ISBN: 3319181238
Category : Computers
Languages : en
Pages : 563
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Book Description
This two volume set LNCS 9049 and LNCS 9050 constitutes the refereed proceedings of the 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015, held in Hanoi, Vietnam, in April 2015. The 63 full papers presented were carefully reviewed and selected from a total of 287 submissions. The papers cover the following topics: data mining; data streams and time series; database storage and index; spatio-temporal data; modern computing platform; social networks; information integration and data quality; information retrieval and summarization; security and privacy; outlier and imbalanced data analysis; probabilistic and uncertain data; query processing.
Author: Bellatreche, Ladjel
Publisher: IGI Global
ISBN: 1605667579
Category : Computers
Languages : en
Pages : 336
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Book Description
Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction covers the complete process of analyzing data to extract, transform, load, and manage the essential components of a data warehousing system. A defining collection of field discoveries, this advanced title provides significant industry solutions for those involved in this distinct research community.
Author: Dr. Poornima G. Naik
Publisher: Shashwat Publication
ISBN: 8194529182
Category : Computers
Languages : en
Pages : 302
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Book Description
Big data analytics emerged as a revolution in the field of information technology. It is the ability of the organization to stay agile which gives it a competitive edge over its competitors. Data harvesting and data analytics enable the organization identify new opportunities which in turn results in efficient operations, leads to smarter business moves and higher business turnovers. All these issues are addressed by big data analytics and its initiatives. Chapter 4 focuses on architecture of Pig, Apache Pig execution modes, Pig data types and operators. Apache Pig Latin data model is based on nested relations. The chapter provides description of different components of Pig Latin data model. The lab session includes installing Pig over Hadoop and exploring different Pig Latin operators.Chapter 5 deals with common services provides by zookeeper, architecture and components of zookeeper and zookeeper operation modes. The salient feature of the chapter is exploration of leader election algorithm and security of ZNodes through access control list. The chapter concludes with the hands-on lab sessions on installation of zookeeper and exposure to zookeeper command-line interface. Chapter 6 discusses different types of NoSQL databases, transformation rules from one data model to another and performs in-depth analysis of HBase data model. The features which are difficult to comprehend such as data compaction, data locality, HBase read and write operations are simplified with easy to understand figures and explanation. As a part of hands-on lab sessions, installation of HBase over Hadoop and exercises based on HBase general commands, DDL commands and DML commands are dealt with.
Author: Leondra R. Gonzalez
Publisher: Packt Publishing Ltd
ISBN: 1805120190
Category : Computers
Languages : en
Pages : 404
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Book Description
Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more Key Features Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning Gain the confidence to explain complex statistical, machine learning, and deep learning theory Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company. Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview. By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.What you will learn Explore data science trends, job demands, and potential career paths Secure interviews with industry-standard resume and portfolio tips Practice data manipulation with Python and SQL Learn about supervised and unsupervised machine learning models Master deep learning components such as backpropagation and activation functions Enhance your productivity by implementing code versioning through Git Streamline workflows using shell scripting for increased efficiency Who this book is for Whether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.
