39
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Book Chapter: not found
      Advanced Practical Approaches to Web Mining Techniques and Application : 

      Web Mining and Web Usage Mining for Various Human-Driven Applications

      edited_book

      Read this book at

      Buy book Bookmark
          There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The current century has seen a huge amount of data being produced every day by various computational platforms. These data are very large in amount when compared to the past. These data have emerged in form of big data (BD), and it's vital to manage these data for processing as well as extracting. The big data are emerging from Facebook, Instagram, and various other social as well as private platforms. Web mining has the capabilities to mine or extract data from a very huge set of data. The mining of useful information is essential for optimal functioning of various systems. In this chapter, the usage of web mining and one of its sub categories, web usage mining, for various human-driven applications has been discussed. This chapter focuses on the background that leads to the emergence of web mining. The chapter also deeply explores various subdomains that are essential for tackling data extraction using web mining.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: not found
          • Article: not found

          Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A Taxonomy and Future Directions for Sustainable Cloud Computing : 360 Degree View

            The cloud-computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT)--based applications, the use of cloud services is increasing exponentially. The next generation of cloud computing must be energy efficient and sustainable to fulfill end-user requirements, which are changing dynamically. Presently, cloud providers are facing challenges to ensure the energy efficiency and sustainability of their services. The use of a large number of cloud datacenters increases cost as well as carbon footprints, which further affects the sustainability of cloud services. In this article, we propose a comprehensive taxonomy of sustainable cloud computing. The taxonomy is used to investigate the existing techniques for sustainability that need careful attention and investigation as proposed by several academic and industry groups. The current research on sustainable cloud computing is organized into several categories: application design, sustainability metrics, capacity planning, energy management, virtualization, thermal-aware scheduling, cooling management, renewable energy, and waste heat utilization. The existing techniques have been compared and categorized based on common characteristics and properties. A conceptual model for sustainable cloud computing has been presented along with a discussion on future research directions.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics

                Bookmark

                Author and book information

                Contributors
                (View ORCID Profile)
                Book Chapter
                March 18 2022
                : 138-162
                10.4018/978-1-7998-9426-1.ch007
                c00564e6-ede3-4105-9c53-5039fcbdfa37
                History

                Comments

                Comment on this book