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Journal articles on the topic 'Rocchio classification'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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1

Yang, Wen Chuan, Zhi Dong Shang, and Zhi Cheng Zhang. "Research on MapReduce-Based Rocchio Relevance Feedback in Massive Information Filtering." Advanced Materials Research 962-965 (June 2014): 2712–15. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2712.

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Traditional text classification algorithms have vital impact on information filtering. However, their performances were confined to a large extent in terms of the massive data set. This paper proposes an approach using MapReduce-based Rocchio relevance feedback algorithm, which improved the traditional Rocchio algorithm in the MapReduce paradigm, to resolve the problem of massive information filtering. The experiments on Hadoop cluster showed an effective improvement in performance by using the new method.
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2

Mohamed, Elfadil Abdalla, Fathi H. Saad, and Omer I. E. Mohamed. "Effects of Classification Techniques on Medical Reports Classification." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 2 (2014): 4206–21. http://dx.doi.org/10.24297/ijct.v13i2.2906.

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Text classification is the process of assigning pre-defined category labels to documents based on what a classifications has learned from training examples. This paper investigates the partially supervised classification approach in the medical field. The approaches that have been evaluated include Rocchio, Naïve Bayesian (NB), Spy, Support vector machine (SVM), and Expectation Maximization (EM). A combination of these methods has been conducted. The experimental result showed that the combination which uses EM in step 2 is always produces better results than those uses SVM using small set o
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3

Liu, Su Houn, Hsiu Li Liao, Shih Ming Pi, and Chih Chiang Kao. "Patent Classification Using Hybrid Classifier Systems." Advanced Materials Research 187 (February 2011): 458–63. http://dx.doi.org/10.4028/www.scientific.net/amr.187.458.

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Patents are distributed through hundreds of collections, divided up by general area. A hybrid classifier system thus can be a powerful solution to difficult patent classification problems. In this study, we present a system for classifying patent documents on a hybrid approach by combining multiple text classifiers (Naïve Bayes, KNN and Rocchio). Decisions made by various text classifiers can be combined by voting and sampling mechanisms in the system. A prototype system was developed and tested in a real world task. The results have indicated that the accuracy of the hybrid approach is more s
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Vasudevan, Shriram K., Sini Raj Pulari, and C. P. Saranya. "An efficient crop yield prediction using Bootstrap Aggregative MapReduce Rocchio Classification." International Journal of Sustainable Agricultural Management and Informatics 7, no. 2 (2021): 1. http://dx.doi.org/10.1504/ijsami.2021.10039091.

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5

Saranya, C. P., Sini Raj Pulari, and Shriram K. Vasudevan. "An efficient crop yield prediction using Bootstrap Aggregative MapReduce Rocchio Classification." International Journal of Sustainable Agricultural Management and Informatics 7, no. 2 (2021): 129. http://dx.doi.org/10.1504/ijsami.2021.116072.

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6

Andayani, U., D. Arisandi, Misbah Hasugian, M. F. Syahputra, and B. Siregar. "The English Language Scientific Literature Classification Based on Abstract Using Rocchio Algorithm." Journal of Physics: Conference Series 1235 (June 2019): 012059. http://dx.doi.org/10.1088/1742-6596/1235/1/012059.

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7

Mohammad, Adel Hamdan. "Arabic Text Classification: A Review." Modern Applied Science 13, no. 5 (2019): 88. http://dx.doi.org/10.5539/mas.v13n5p88.

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Text classification is an important topic. The number of electronic documents available on line is massive. Text classification aims to classify documents into a set of predefined categories.  Number of researches conducted on English dataset is great in comparison with number of researches done using Arabic dataset. This research could be considered as reference for most researchers who deal with Arabic dataset. This research used the most well-known algorithms used in text classification with Arabic dataset. Besides that, dataset used in this research is large enough in comparison w
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8

Yahya, Anwar Ali, Addin Osman, and Mohammad Said El-Bashir. "Rocchio algorithm-based particle initialization mechanism for effective PSO classification of high dimensional data." Swarm and Evolutionary Computation 34 (June 2017): 18–32. http://dx.doi.org/10.1016/j.swevo.2016.11.005.

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9

Mingqiang, Wu, Furong Chang, and Kui Zhang. "Research on the internal influence factors of the text multi-classification problem." MATEC Web of Conferences 173 (2018): 03072. http://dx.doi.org/10.1051/matecconf/201817303072.

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This paper mainly deals with the classification of text type data. The statistics show that more than 8000 articles have been reached in all kinds of documents retrieved by the optical network. However, there are few papers on the factors that affect the classification of text. The text classification method used is important, but the internal factors sometimes play a great role, and even affect the success or failure of the whole text classification. In order to make up for this deficiency, this paper selects the Rocchio algorithm as the classification method, mainly from the category cluster
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10

PETERS, CHARLES M. E. E., and CORNELIS H. A. KOSTER. "UNCERTAINTY AND TERM SELECTION IN TEXT CATEGORIZATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11, no. 01 (2003): 115–37. http://dx.doi.org/10.1142/s0218488503001977.

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This paper discusses the notion of Uncertainty, which has a prominent place in the theory and experimental practice of modern Physics. It argues that the awareness of Uncertainty may also be of tremendous importance to the field of Information Retrieval, and in particular Text Categorization. As an application of Uncertainty in Text Categorization, a new criterion for Term Selection is described, which is based on the Uncertainty in Term Frequency across categories. This criterion allows to distinguish between low-quality (or "noisy") and high-quality ("stiff") terms. We describe an experiment
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11

V.L, Narayanan. "Triangular Fuzzified Support Vector Regression Based Multivariate Rocchio Robust Boost Classification for Traffic and Congestion Aware Data Delivery in WSN." Revista Gestão Inovação e Tecnologias 11, no. 2 (2021): 2300–2321. http://dx.doi.org/10.47059/revistageintec.v11i2.1932.

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12

Uğuz, Harun, Gür Emre Güraksın, Uçman Ergün, and Rıdvan Saraçoğlu. "Biomedical system based on the Discrete Hidden Markov Model using the Rocchio–Genetic approach for the classification of internal carotid artery Doppler signals." Computer Methods and Programs in Biomedicine 103, no. 1 (2011): 51–60. http://dx.doi.org/10.1016/j.cmpb.2010.07.001.

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13

Widjojo, Elisabeth Adelia, Antonius Rachmat C, and R. Gunawan Santosa. "Implementasi Rocchio’s Classification dalam Mengkategorikan Renungan Harian Kristen." Jurnal ULTIMATICS 6, no. 1 (2014): 1–8. http://dx.doi.org/10.31937/ti.v6i1.325.

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Nowadays, many Christian institutions are using digital media to save spiritual pictures, musics or videos, even daily devotional articles which is usually printed monthly. Since many daily devotionals are published in the Internet, it will be difficult to find a daily devotional articles with a spesific topic/category. To make it easier, in this research we use Rocchio’s classification, which use TF-IDF weighting for classification and centroid calculation in every category to classify daily devotional articles. Every testing article will be matched with the centroid using cosine similariy. A
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14

Balke, Michael. "Biogeography and classification of New Guinean Colymbetini (Coleoptera:Dytiscidae:Colymbetinae)." Invertebrate Systematics 15, no. 2 (2001): 259. http://dx.doi.org/10.1071/it98008.

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The systematics of New Guinean Colymbetini is revised. All of the species aremontane and/or subalpine, and include:Carabdytes upin Balke, Hendrich & Wewalka, 1992;Rhantus suturalis (MacLeay, 1825)s.l.; R. papuanus Balfour-Browne,1939; and R. ekari Balke & Hendrich, 1992a. Thefollowing new species are described: R. anggi, sp. nov.;R. bacchusi, sp. nov.; R. dani,sp. nov.; R. kakapupu, sp. nov.;R. riedeli, sp. nov.; andR. supranubicus, sp. nov.Rhantus neoguinensis Guéorguiev & Rocchi,1993 is a junior subjective synonym of R. suturalis s.l.All New Guinean Rhantus Dejean, 1833 belong to
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15

VILLASTRIGO, ADRIÁN, IGNACIO RIBERA, MICHAËL MANUEL, ANDRÉS MILLÁN, and HANS FERY. "A new classification of the tribe Hygrotini Portevin, 1929 (Coleoptera: Dytiscidae: Hydroporinae)." Zootaxa 4317, no. 3 (2017): 499. http://dx.doi.org/10.11646/zootaxa.4317.3.4.

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The tribe Hygrotini Portevin, 1929 is currently composed of four genera, Heroceras Guignot, 1950, Herophydrus Sharp, 1880, Hygrotus Stephens, 1828 (with two subgenera, Coelambus Thomson, 1860, and Hygrotus s. str.), and Hyphoporus Sharp, 1880. A recent molecular phylogeny of the tribe with ca. 45% of the 137 described species of Hygrotini, including the type species of all genus-level taxa, revealed extended para- or polyphyly of the current genera and subgenera (Villastrigo et al., Zoologica Scripta, in press), for which reason a new classification of the tribe Hygrotini is proposed. Within H
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16

Saponaro, Gianmarco, Sandro Pelo, Giulio Gasparini, et al. "Approach to Fronto-Orbital Sequelae in Anterior Synostotic Plagiocephaly: Our Flow Chart Based on Di Rocco Classification." Journal of Craniofacial Surgery 32, no. 6 (2021): 1986–89. http://dx.doi.org/10.1097/scs.0000000000007389.

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17

Durante, Fabrizio. "New Perspectives in Statistical Modeling and Data Analysis: Proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9-11, 2009 by Salvatore Ingrassia, Roberto Rocci, Maurizio V." International Statistical Review 81, no. 3 (2013): 460–61. http://dx.doi.org/10.1111/insr.12042_2.

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18

Eminağaoğlu, Mete, and Yılmaz Gökşen. "A New Similarity Measure for Document Classification and Text Mining." KnE Social Sciences, January 12, 2020. http://dx.doi.org/10.18502/kss.v4i1.5999.

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Accurate, efficient and fast processing of textual data and classification of electronic documents have become an important key factor in knowledge management and related businesses in today’s world. Text mining, information retrieval, and document classification systems have a strong positive impact on digital libraries and electronic content management, e-marketing, electronic archives, customer relationship management, decision support systems, copyright infringement, and plagiarism detection, which strictly affect economics, businesses, and organizations. In this study, we propose a new si
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19

Eminagaoglu, Mete. "A new similarity measure for vector space models in text classification and information retrieval." Journal of Information Science, October 27, 2020, 016555152096805. http://dx.doi.org/10.1177/0165551520968055.

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There are various models, methodologies and algorithms that can be used today for document classification, information retrieval and other text mining applications and systems. One of them is the vector space–based models, where distance metrics or similarity measures lie at the core of such models. Vector space–based model is one of the fast and simple alternatives for the processing of textual data; however, its accuracy, precision and reliability still need significant improvements. In this study, a new similarity measure is proposed, which can be effectively used for vector space models an
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20

"Assorted Sentiment Model for Publically Available Page of Facebook." International Journal of Innovative Technology and Exploring Engineering 9, no. 3 (2020): 1160–67. http://dx.doi.org/10.35940/ijitee.b7739.019320.

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ecommerce industries expose public page in the social network site (Facebook, twitter etc) for the intention of improving of business strategy. They extract public mood about the social network page in the forms of total likes, the total share of the page and sentiment of all comments to the social network page similar way celebrities expose public page in the social network sites for the intention of improving its fame. We have developed an assorted model for publicly available page of Facebook. This assorted model is the combination of data extractor model, language convertor and cleaned mod
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21

Meekins, Ryan, Stephen Adams, Kevin Farinholt, Sherwood Polter, and Peter A. Beling. "ROC with Cost Pareto Frontier Feature Selection Using Search Methods." Data-Enabled Discovery and Applications 4, no. 1 (2020). http://dx.doi.org/10.1007/s41688-020-00040-4.

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Abstract Cyber-physical systems (CPS) are finding increasing application in many domains. CPS are composed of sensors, actuators, a central decision-making unit, and a network connecting all of these components. The design of CPS involves the selection of these hardware and software components, and this design process could be limited by a cost constraint. This study assumes that the central decision-making unit is a binary classifier, and casts the design problem as a feature selection problem for the binary classifier where each feature has an associated cost. Receiver operating characterist
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22

Kronig, Sophia A. J., Otto D. M. Kronig, Henri A. Vrooman, Jifke F. Veenland, and Léon N. A. Van Adrichem. "Quantification of Severity of Unilateral Coronal Synostosis." Cleft Palate-Craniofacial Journal, October 20, 2020, 105566562096509. http://dx.doi.org/10.1177/1055665620965099.

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Objectives: Severity of unilateral coronal synostosis (UCS) can vary. Quantification is important for treatment, expectations of treatment and natural outcome, and education of the patient and parents. Design: Retrospective study. Setting: Primary craniofacial center. Patients, Participants: Twenty-three preoperative patients with unilateral coronal craniosynostosis (age < 2 years). Intervention: Utrecht Cranial Shape Quantifier (UCSQ) was used to quantify severity using the variables: asymmetry ratio of frontal peak and ratio of frontal peak gradient. Main Outcome Measures(s): The UCSQ var
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