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JournalISSN: 0018-9162

IEEE Computer 

IEEE Computer Society
About: IEEE Computer is an academic journal published by IEEE Computer Society. The journal publishes majorly in the area(s): Computer science & Software development. It has an ISSN identifier of 0018-9162. Over the lifetime, 7156 publications have been published receiving 451250 citations.


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Journal ArticleDOI
TL;DR: As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels.
Abstract: As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels

9,583 citations

Journal ArticleDOI
Jeffrey O. Kephart1, David M. Chess1
TL;DR: A 2001 IBM manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several heterogeneous environments into corporate-wide computing systems that extend into the Internet.
Abstract: A 2001 IBM manifesto observed that a looming software complexity crisis -caused by applications and environments that number into the tens of millions of lines of code - threatened to halt progress in computing. The manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several heterogeneous environments into corporate-wide computing systems that extend into the Internet. Autonomic computing, perhaps the most attractive approach to solving this problem, creates systems that can manage themselves when given high-level objectives from administrators. Systems manage themselves according to an administrator's goals. New components integrate as effortlessly as a new cell establishes itself in the human body. These ideas are not science fiction, but elements of the grand challenge to create self-managing computing systems.

6,527 citations

Journal ArticleDOI
TL;DR: Why RBAC is receiving renewed attention as a method of security administration and review is explained, a framework of four reference models developed to better understandRBAC is described, and the use of RBAC to manage itself is discussed.
Abstract: Security administration of large systems is complex, but it can be simplified by a role-based access control approach. This article explains why RBAC is receiving renewed attention as a method of security administration and review, describes a framework of four reference models developed to better understand RBAC and categorizes different implementations, and discusses the use of RBAC to manage itself.

5,418 citations

Journal ArticleDOI
TL;DR: An outline is given of the process steps involved in the spiral model, an evolving risk-driven approach that provides a framework for guiding the software process and its application to a software project is shown.
Abstract: A short description is given of software process models and the issues they address. An outline is given of the process steps involved in the spiral model, an evolving risk-driven approach that provides a framework for guiding the software process, and its application to a software project is shown. A summary is given of the primary advantages and implications involved in using the spiral model and the primary difficulties in using it at its current incomplete level of elaboration. >

5,055 citations

Journal ArticleDOI
TL;DR: The Query by Image Content (QBIC) system as discussed by the authors allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information.
Abstract: Research on ways to extend and improve query methods for image databases is widespread. We have developed the QBIC (Query by Image Content) system to explore content-based retrieval methods. QBIC allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information. Two key properties of QBIC are (1) its use of image and video content-computable properties of color, texture, shape and motion of images, videos and their objects-in the queries, and (2) its graphical query language, in which queries are posed by drawing, selecting and other graphical means. This article describes the QBIC system and demonstrates its query capabilities. QBIC technology is part of several IBM products. >

3,957 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023302
2022436
2021146
2020153
2019123
2018133