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“sunil sikka”

Showing 1 - 12 of 12 results for “sunil sikka”
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  • Software Change Impact Analysis

    by Sunil Sikka, Ankit Dhamija ...
    Introducing changes in the software during development and post-development is a very frequent activity. Reasons for changes include client’s changing requirements, fixing leftover bugs and other security issues, adding new functionality, and so on. Introducing changes in software may bring adverse effects that may degrade its quality or introduce new bugs which in turn will increase the software ... Read more

    $7.99 USD

  • CK Metrics as a Software Fault-Proneness Predictor

    by Sunil Sikka ...
    Predicting Fault-proneness of software modules is essential for cost-effective test planning. Fault-proneness could play a key role in quality control of software. Various studies have shown the importance of software metrics in predicting fault-proneness of the software. “Classic” set of metrics was planned by Chidamber and Kemerer in 1991. Chidamber and Kemerer (CK) metrics suite is the most ... Read more

    $5.99 USD

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  • Enterprise, Business-Process and Information Systems Modeling

    18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings

    Edited by Iris Reinhartz-Berger, Jens Gulden, Selmin Nurcan, Wided Guédria, Palash Bera ...
    Series series Springer Nature Proceedings excluding Computer Science
    This book constitutes the proceedings of two events held in conjunction with the CAiSE conferences and related to the areas of enterprise, business-process and information systems modeling: the 18th International Conference on Business Process Modeling, Development and Support, BPMDS 2017, and the 22nd International Conference on Evaluation and Modeling Methods for Systems Analysis and Development ... Read more

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  • Big Data Analytics

    Tools and Technology for Effective Planning

    Edited by Arun K. Somani, Ganesh Chandra Deka ...
    Series series Chapman & Hall/CRC Big Data Series
    The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers. ... Read more

    $233.99 USD

  • Recommender Systems

    An Introduction

    by Markus Zanker, Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach ...
    In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The ... Read more

    $81.99 USD

  • Predictive Analytics

    Data Mining, Machine Learning and Data Science for Practitioners

    by Dursun Delen ...
    Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-MakingUsing predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics ... Read more

    $43.19 USD

  • Evaluating Information Retrieval and Access Tasks

    NTCIR's Legacy of Research Impact

    Edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando ...
    Series Book 43 - The Information Retrieval Series
    This open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). NTCIR is a series of evaluation forums run by a global team of researchers and hosted by the National Institute of Informatics (NII), Japan. The book is unique in that it discusses not just what was done at NTCIR, but also how it was done and the impact it has achieved. ... Read more

    Free

  • Automated Machine Learning

    Methods, Systems, Challenges

    Edited by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren ...
    Series series The Springer Series on Challenges in Machine Learning
    This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML ... Read more

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  • From Prognostics and Health Systems Management to Predictive Maintenance 2

    Knowledge, Reliability and Decision

    by Brigitte Chebel-Morello, Jean-Marc Nicod, Christophe Varnier ...
    This book is the second volume in a set of books dealing with the evolution of technology, IT and organizational approaches and what this means for industrial equipment.The authors address this increasing complexity in two parts, focusing specifically on the field of Prognostics and Health Management (PHM). Having tackled the PHM cycle in the first volume, the purpose of this book is to tackle the ... Read more

    $142.00 USD

  • Process Mining Workshops

    ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers

    Edited by Jorge Munoz-Gama, Xixi Lu ...
    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021.The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located ... Read more

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  • Machine Learning for Data Streams

    with Practical Examples in MOA

    by Albert Bifet, Ricard Gavalda, Bernhard Pfahringer, Geoffrey Holmes ...
    Series series Adaptive Computation and Machine Learning series
    A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, ... Read more

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  • Machine Learning

    Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

    by Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani ...
    The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches.This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision ... Read more

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