Results 251 to 260 of about 6,614,488 (283)

Aggregation of Document Frequencies in Unstructured P2P Networks

2009
Peer-to-peer (P2P) systems have been recently proposed for providing search and information retrieval facilities over distributed data sources, including web data. Terms and their document frequencies are the main building blocks of retrieval and as such need to be computed, aggregated, and distributed throughout the system.
Robert Neumayer, Christos Doulkeridis, Kjetil Nørvåg   +2 more
openaire   +1 more source

Document Quality Estimation Using Spatial Frequency Response

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
The current Document Image Quality Assessment (DIQA) algorithms directly relate the Optical Character Recognition (OCR) accuracies with the quality of the document to build supervised learning frameworks. This direct correlation has two major limitations: (a) OCR may be affected by factors independent of the quality of the capture and (b) it cannot ...
Pranjal Kumar Rai, Sajal Maheshwari, Vineet Gandhi   +2 more
openaire   +2 more sources

Frequency and clinical relevance of inconsistent code status documentation

Journal of Hospital Medicine, 2015
BACKGROUNDAccurate and complete documentation of hospitalized patients' code status is important to ensure that healthcare providers take appropriate action in the event of a cardiac arrest.OBJECTIVEDetermine the frequency and clinical relevance of incomplete and inconsistent code status documentation.DESIGNPoint‐prevalence study.SETTINGAcademic ...
Adina S, Weinerman, Irfan A, Dhalla, Alex, Kiss, Edward E, Etchells, Robert C, Wu, Brian M, Wong   +5 more
openaire   +2 more sources

Subspace Clustering of Text Documents Using Collection and Document Frequencies of Terms

International Review on Computers and Software (IRECOS), 2014
The most widely used document representation model is the Vector Space Model. Higher dimensions and sparseness of the representation model leads to poor clustering performance, demanding more computational effort for clustering. Hence, dimension reduction techniques are used to find a feature subspace for document representation that could enhance ...
N. Sivaram Prasad, K. Rajasekhara Rao
openaire   +1 more source

Use of confocal linescan to document ciliary beat frequency

Journal of Microscopy, 2006
SummaryWe present a method to document ciliary beat frequency with the linescan function of a scanning confocal microscope, using ciliated tracheal cells and free‐swimming rotifers as examples. Depending on the clarity of the original data, the ciliary beat frequency can be determined from the confocal linescan directly or from an intensity linescan ...
R T, Doyle, T, Moninger, N, Debavalya, W H, Hsu   +3 more
openaire   +2 more sources

Context-Specific Frequencies and Discriminativeness for the Retrieval of Structured Documents

2006
Structured document retrieval requires the ranking of document elements. Previous approaches either aggregate term weights or retrieval status values, or propose alternatives to idf, for example, ief (inverse element frequency). We propose and investigate in this paper a new approach: Context-specific idf, which is, in contrast to aggregation-based ...
Jun Wang 0032, Thomas Rölleke
openaire   +1 more source

Understanding inverse document frequency: on theoretical arguments for IDF

Journal of Documentation, 2004
The term‐weighting function known as IDF was proposed in 1972, and has since been extremely widely used, usually as part of a TF*IDF function. It is often described as a heuristic, and many papers have been written (some based on Shannon's Information Theory) seeking to establish some theoretical basis for it.
openaire   +2 more sources

Frequency and functional use of cited documents in information science

Journal of the American Society for Information Science, 1991
The purpose of this study was to examine factors which may explain frequency and nature of use of documents in citing document texts over time. Articles published in the Journal of the American Society for Information Science in 1972, 1973, and 1974 were searched on SciSearch to derive two sample groups.
openaire   +2 more sources

Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks

Applied Soft Computing Journal, 2020
Ankit Thakkar, Kinjal Chaudhari
exaly  

Sentiment Analysis on Twitter Data Using Term Frequency-Inverse Document Frequency

Journal of Computer and Communications, 2022
exaly