ACM Computing Surveys

SCIE-ISI SCOPUS (1969-2023)

  0360-0300

  1557-7341

  Mỹ

Cơ quản chủ quản:  ASSOC COMPUTING MACHINERY , Association for Computing Machinery (ACM)

Lĩnh vực:
Theoretical Computer ScienceComputer Science (miscellaneous)

Các bài báo tiêu biểu

Data clustering
Tập 31 Số 3 - Trang 264-323 - 1999
Anil K. Jain, M. Narasimha Murty, Patrick J. Flynn
Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and diff...... hiện toàn bộ
Anomaly detection
Tập 41 Số 3 - Trang 1-58 - 2009
Varun Chandola, Arindam Banerjee, Vipin Kumar
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are more generic. This survey tries to provide a structured and comprehensive overview of the research on anomaly detection. We have grouped existing techniq...... hiện toàn bộ
Machine learning in automated text categorization
Tập 34 Số 1 - Trang 1-47 - 2002
Fabrizio Sebastiani
The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general inductive process automatically bui...... hiện toàn bộ
Voronoi diagrams—a survey of a fundamental geometric data structure
Tập 23 Số 3 - Trang 345-405 - 1991
Franz Aurenhammer
A survey of image registration techniques
Tập 24 Số 4 - Trang 325-376 - 1992
Lisa Gottesfeld Brown
Registration is a fundamental task in image processing used to match two or more pictures taken, for example, at different times, from different sensors, or from different viewpoints. Virtually all large systems which evaluate images require the registration of images, or a closely related operation, as an intermediate step. Specific examples of systems where image registration is a signif...... hiện toàn bộ
The interdisciplinary study of coordination
Tập 26 Số 1 - Trang 87-119 - 1994
Thomas W. Malone, Kevin Crowston
This survey characterizes an emerging research area, sometimes called coordination theory , that focuses on the interdisciplinary study of coordination. Research in this area uses and extends ideas about coordination from disciplines such as computer science, organization theory, operations research, economics, linguistics, an...... hiện toàn bộ
A survey on concept drift adaptation
Tập 46 Số 4 - Trang 1-37 - 2014
João Gama, Indrė Žliobaitė, Albert Bifet, Mykola Pechenizkiy, Abdelhamid Bouchachia
Concept drift primarily refers to an online supervised learning scenario when the relation between the input data and the target variable changes over time. Assuming a general knowledge of supervised learning in this article, we characterize adaptive learning processes; categorize existing strategies for handling concept drift; overview the most representative, distinct, and popular techni...... hiện toàn bộ
The Quadtree and Related Hierarchical Data Structures
Tập 16 Số 2 - Trang 187-260 - 1984
Hanan Samet
What every computer scientist should know about floating-point arithmetic
Tập 23 Số 1 - Trang 5-48 - 1991
David Theo Goldberg
Floating-point arithmetic is considered as esoteric subject by many people. This is rather surprising, because floating-point is ubiquitous in computer systems: Almost every language has a floating-point datatype; computers from PCs to supercomputers have floating-point accelerators; most compilers will be called upon to compile floating-point algorithms from time to time; and virtually ev...... hiện toàn bộ
Feature Selection
Tập 50 Số 6 - Trang 1-45 - 2018
Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for various data-mining and machine-learning problems. The objectives of feature selection include building simpler and more comprehensible models, improving data-mining performance, and preparing clean, understandable data. The recent prol...... hiện toàn bộ