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1

Buchan, James. "Weights and measures." Nursing Standard 17, no. 9 (November 13, 2002): 23. http://dx.doi.org/10.7748/ns.17.9.23.s38.

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Deaves, Sally-Ann. "Weights and measures." Nursing Standard 18, no. 11 (November 26, 2003): 24. http://dx.doi.org/10.7748/ns.18.11.24.s32.

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Ramasubramanian, Lakshmiprabha. "Weights and measures." Learning Disability Practice 10, no. 1 (February 2007): 26. http://dx.doi.org/10.7748/ldp.10.1.26.s17.

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4

Moore, Julie L. "Weights & Measures." Prairie Schooner 91, no. 1 (2017): 118. http://dx.doi.org/10.1353/psg.2017.0073.

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5

Sgro, Gaetan. "Weights and Measures." JAMA 315, no. 17 (May 3, 2016): 1908. http://dx.doi.org/10.1001/jama.2015.19392.

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6

Smith, Jack. "Weights and Measures." American Book Review 30, no. 4 (2009): 10. http://dx.doi.org/10.1353/abr.2009.0091.

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7

Andreas, Vernunft, Maass Melanie, and Brüssow Klaus-Peter. "Placental characteristics of German Landrace sows and their relationships to different fertility parameters." Czech Journal of Animal Science 63, No. 9 (August 31, 2018): 339–46. http://dx.doi.org/10.17221/23/2017-cjas.

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The placenta is the central foetal organ that ensures a sufficient exchange of nutrients and metabolites for adequate foetal growth. Specific data profiles for placental characteristics from modern pig lines with high fertility and today’s genetics are not currently available. This study focuses on describing the placental weight and size of German Landrace pigs and any subsequent relationship to litter number and important fertility parameters for these sows. As a basis for data collection, 55 litters from primi- and multiparous German Landrace sows with a total of 832 piglets were used. From these births, 766 placentas were recovered and weighed, with their lengths measured and the placental efficiency per litter also calculated. Mean placental weights ranged from 179 ± 60 to 422 ± 96 g between litters, and the mean length was between 61 ± 12 and 145 ± 19 cm. The placental efficiency was at a level of 5.1 ± 0.7. The investigated parameters were only slightly affected by the litter number (r = 0.3), and the means did not significantly differ between different litter numbers. With increasing litter size, the piglet weights and placental lengths were significantly decreased (r = –0.4 and r = –0.3), possibly due to limited uterine space. However, litter size had a strong positive correlation with the total litter placental weight (r = 0.7); therefore, in this study, the placental efficiency was not affected by a higher number of piglets per sow. Higher means for placental weights (r = 0.7) and lengths (r = 0.7) in a particular litter significantly improved the piglet birth weights. The reported variability in placental characteristics between litters suggests that there is an opportunity to selectively breed for improved piglet weight and homogeneity and thus improved piglet health and survival.
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8

Natarajan, Vasant. "Standard weights and measures." Resonance 6, no. 8 (August 2001): 44–59. http://dx.doi.org/10.1007/bf02902515.

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9

Eisenkopf, Gerald. "Negative Weights for Performance Measures." International Public Management Journal 12, no. 3 (August 26, 2009): 332–44. http://dx.doi.org/10.1080/10967490903103284.

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10

Sulak, Marcela. "Sudoku, and: Weights and Measures." Colorado Review 43, no. 3 (2016): 155–58. http://dx.doi.org/10.1353/col.2016.0105.

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11

DE ROOS, J. "Weights and Measures in Hittite Texts." Anatolica 34 (May 31, 2008): 1–6. http://dx.doi.org/10.2143/ana.34.0.2031562.

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12

FLOOR, Willem. "Weights and Measures in Qajar Iran." Studia Iranica 37, no. 1 (June 30, 2008): 57–115. http://dx.doi.org/10.2143/si.37.1.2032298.

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13

Hegesh, Noa. "The sound of weights and measures." Nature Physics 16, no. 11 (November 2020): 1166. http://dx.doi.org/10.1038/s41567-020-01077-z.

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14

White, Julia, and H. Rees. "Chromosome weights and measures in Petunia." Heredity 58, no. 1 (February 1987): 139–43. http://dx.doi.org/10.1038/hdy.1987.18.

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15

HOPPIT, JULIAN. "Reforming Britain's Weights and Measures, 1660–1824." English Historical Review CVIII, no. 426 (1993): 82–104. http://dx.doi.org/10.1093/ehr/cviii.426.82.

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16

Tasena, Santi, and Sompong Dhompongsa. "Weighted doubling measures with remotely constant weights." Filomat 29, no. 6 (2015): 1343–50. http://dx.doi.org/10.2298/fil1506343t.

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17

Hockert, Carol. "Weights and Measures in the United States." NCSLI Measure 1, no. 3 (September 2006): 52–59. http://dx.doi.org/10.1080/19315775.2006.11721334.

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18

Lemmer, Hoffie. "Cricket performance measures." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 28, no. 1 (September 2, 2009): 13–34. http://dx.doi.org/10.4102/satnt.v28i1.46.

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The purpose of this paper is to present a summary of batting and bowling performance measures that have been developed over a period of eight years. The measure of batting performance (BP) consists of three components. Firstly, an exponentially weighted average (EWA) is calculated in which recent scores have higher weights than scores further back in time in order to get a measure that adequately reflects the batsman’s present form. EWA is then adjusted up- or downwards depending on the batsman’s consistency and strike rate. This measure was subsequently generalized to BPW which includes weights for runs scored against specific countries in home or away matches separately. In the case of bowling, the first challenge was to develop a single comprehensive measure of bowling performance, the combined bowling rate (CBR) for limited overs matches and the dynamic bowling rate (DBR) for unlimited overs matches. Hence, by alsotaking bowling consistency into account, the current bowling performance measure (CBP) wasdeveloped. This measure was also extended to include weights for wickets taken and runs concededagainst each international team in home or away matches. These measures contain parametersthat were based on players’ scores up to the specific date of calculation. Before using the latestavailable data for the present presentation, it is logical to update these parameters. This hasbeen done in the present study. If a player performs well at local level, it is important to be ableto compare his performance with those of players already in the national team. Weights havebeen determined for runs scored by batsmen and also for runs conceded and wickets taken bybowlers in local matches, whereby the performances of players can be compared irrespective ofthe proportion of international matches played by each player. After having used the measures onvarious occasions the need arose to revise some of them slightly. The updated measures are thenused to give rankings of South African batsmen and bowlers in First Class and List A matchesalike. Methods have also been developed to compare the batting and bowling performances ofplayers after a short series of matches. It was shown that the traditional average could haveunrealistic values in the case of a batsman who had a large percentage of not out scores in ashort series. Alternative measures have been developed and shown to give much more realisticvalues. In the case of bowling it is important not only to count the number of wickets a bowlerhas taken, but to distinguish between the wickets of top and middle order batsmen on the onehand and lower order batsmen on the other. A system has been established whereby weights areattached to the wickets according to the batting position of the batsman. Instead of just countingthe number of wickets taken, the sum of the weights of the wickets taken by the bowler is usedin the calculation of CBR* or DBR*. Finally, the latest form of the game, Twenty20 cricket, isalso discussed.
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19

Hovorushchenko, Tetiana. "Method of Evaluating the Weights of Software Quality Measures and Indicators." Application and Theory of Computer Technology 2, no. 2 (February 28, 2017): 16. http://dx.doi.org/10.22496/atct20170128136.

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Nowadays the actual task is evaluating the mutual influences of the software quality characteristics and subcharacteristics by the measures and software quality metrics – by the indicators. The aim of this study is the development of the method of evaluating the weights of software quality measures and indicators. The first time developed method of evaluating the weights of the software quality measures and indicators differs from known methods that: considers the correlation of software quality subchcaracteristics by the measures and metrics by the indicators, calculates the weights of exactly measures and indicators, provides the conclusion about the presence of which measures and indicators in the software requirements specification (SRS) is necessary for the appropriate level of veracity of the software quality assessment. The weights of the software quality measures and indicators provide the sorting of all missing in the SRS measures and indicators in descending of their significance (in descending of their weights), i.e. the priority of their further addition in the SRS.
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20

KAHL, O. "'Îsâ ibn Mâssa on Medicinal Weights and Measures." Orientalia Lovaniensia Periodica 23, no. 1 (January 1, 1992): 275–79. http://dx.doi.org/10.2143/olp.23.1.519175.

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21

Dikolli, Shane S., Christian Hofmann, and Susan L. Kulp. "Interrelated Performance Measures, Interactive Effort, and Incentive Weights." Journal of Management Accounting Research 21, no. 1 (January 1, 2009): 125–49. http://dx.doi.org/10.2308/jmar.2009.21.1.125.

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ABSTRACT: This study uses principal-agent analysis to investigate how the principal's use of performance measures in the agent's compensation contract are affected by (1) links between performance measures and (2) substitute and complementary characteristics of an agent's efforts. We show that the directional effect of changes in performance measure interrelations on linear incentive weights depends on how the agent's tasks interact with each other (i.e., substitute or complementary interactions). For example, increases in performance measure interrelations do not necessarily imply higher incentive weights on more sensitive and precise performance measures. If efforts are substitutes for each other, the costs of effort are relatively high and the principal induces lower levels of total effort by offering lower incentives. We also show that differences in the combination of performance measure interrelations and effort interactions affect profits in distinctly different ways. When efforts are substitutes for each other, increases in the sensitivities of profit to the other performance metrics (i.e., increased interrelations), and thus to effort, may actually lead to lower profits.
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22

Rorke, Martin. "Connor and Simpson, Weights and Measures in Scotland." Scottish Historical Review 86, no. 1 (April 2007): 152–54. http://dx.doi.org/10.3366/shr.2007.0048.

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23

SHELDON, RICHARD. "Weights and measures in Scotland: a European perspective." Economic History Review 57, no. 4 (November 2004): 774–75. http://dx.doi.org/10.1111/j.1468-0289.2004.00295_3.x.

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24

Bryden, D. "Weights and Measures of Scotland: A European Perspective." Journal of the History of Collections 18, no. 2 (June 29, 2006): 285–86. http://dx.doi.org/10.1093/jhc/fhl031.

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25

Oskrochi, Youssof, Azeem Majeed, and Graham Easton. "Weights and measures: are bariatric surgery guidelines realistic?" Journal of the Royal Society of Medicine 108, no. 7 (July 2015): 252–53. http://dx.doi.org/10.1177/0141076815589107.

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26

Makambi, Kepher H., and Wenxin Lu. "Combining study outcome measures using dominance adjusted weights." Research Synthesis Methods 4, no. 2 (January 7, 2013): 188–97. http://dx.doi.org/10.1002/jrsm.1073.

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27

Krutikov, V. N., T. D. Kanishcheva, S. A. Kononogov, L. K. Isaev, and N. I. Khanov. "The 23rd General Conference on Weights and Measures." Measurement Techniques 51, no. 9 (September 2008): 1045–47. http://dx.doi.org/10.1007/s11018-008-9150-x.

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28

Bomsdorf, E. "Measures of Dispersion with Weights Based on Ranks." Biometrical Journal 27, no. 7 (1985): 753–58. http://dx.doi.org/10.1002/bimj.4710270706.

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29

Du, Chan. "COMPARATIVE STATICS OF OPTIMAL WEIGHTS ON MYOPIC PERFORMANCE MEASURES." Review of Business Research 14, no. 1 (March 1, 2014): 7–18. http://dx.doi.org/10.18374/rbr-14-1.1.

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30

Wain, H., E. Bruford, A. Duncanson, R. Lovering, and S. Povey. "Nomenclature: Genes, Weights and Measures, Animals, Elements, and Planets." Radiation Research 154, no. 1 (July 2000): 1–2. http://dx.doi.org/10.1667/0033-7587(2000)154[0001:ngwama]2.0.co;2.

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31

Ashworth, William J. "Weights and Measures in Scotland: A European Perspective (review)." Technology and Culture 46, no. 3 (2005): 640–42. http://dx.doi.org/10.1353/tech.2005.0109.

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32

Williams, David J. "EDRM implementation at the National Weights and Measures Laboratory." Records Management Journal 15, no. 3 (December 2005): 158–66. http://dx.doi.org/10.1108/09565690510632346.

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33

Rorke, Martin. "Weights and Measures in Scotland: a European Perspective (review)." Scottish Historical Review 86, no. 1 (2007): 152–54. http://dx.doi.org/10.1353/shr.2007.0048.

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34

ELLIS, R. S., J. GOUGH, and J. V. PULÉ. "THE LARGE DEVIATION PRINCIPLE FOR MEASURES WITH RANDOM WEIGHTS." Reviews in Mathematical Physics 05, no. 04 (December 1993): 659–92. http://dx.doi.org/10.1142/s0129055x93000206.

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In this paper, we study the problem of large deviations for measures with random weights. We are motivated by previous work dealing with the special case occuring in the statistical mechanics of the Bose gas. We study the problem in an abstract setting, isolating what is general from what is dependent on Bose statistics. We succeed in proving the large deviation principle for a large class of measures with random weights and obtaining the corresponding rate function in an explicit form. In particular, our results are applicable to the Fermi gas and the spherical model.
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35

Rebecca Morgan Frank. "Vassar’s Vincent, and: The History of Weights and Measures." Prairie Schooner 82, no. 1 (2008): 155–57. http://dx.doi.org/10.1353/psg.0.0020.

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36

Luque, Teresa, Carlos Pérez, and Ezequiel Rela. "Reverse Hölder Property for Strong Weights and General Measures." Journal of Geometric Analysis 27, no. 1 (February 22, 2016): 162–82. http://dx.doi.org/10.1007/s12220-016-9678-y.

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37

Lee, Jong-Bong, and Dong-Whui Lee. "A Study on the Weights and Measures of Balhae." History & the World 58 (December 31, 2020): 321–55. http://dx.doi.org/10.17857/hw.2020.12.58.321.

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38

Marx, Nicole. "Reading across the Germanic languages: Is equal access just wishful thinking?" International Journal of Bilingualism 16, no. 4 (December 19, 2011): 467–83. http://dx.doi.org/10.1177/1367006911429517.

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To meet increasing needs for multilingual speakers, varied concepts such as Intercomprehension Pedagogy have evolved. Here, speakers of one language concurrently develop reading skills in multiple etymologically related languages. A prerequisite of such projects is information about mutual comprehensibility, including which languages might be easier to comprehend in which situations and for which learners. The present study investigated 73 German university students who read a short text in an unknown Germanic language (Danish, Dutch, Icelandic, Norwegian or Swedish) and then answered specific questions on content and structure. Results showed significantly higher success rates on all measures for Dutch, with isolated significant differences between the other languages and higher success in decoding lexical, in comparison to structural, information. No individual learner variables were found to be correlated with success. These data have implications for planning courses in Germanic intercomprehension, especially regarding time allotted the various languages.
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39

ІКОННІКОВА, Марина. "SOME GENERAL CHARACTERISTICS OF FUTURE PHILOLOGISTS’ PROFESSIONAL TRAINING AT UKRAINIAN UNIVERSITIES." Освітні обрії 50, no. 1 (March 25, 2020): 206–12. http://dx.doi.org/10.15330/obrii.50.1.206-212.

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The paper analyzes professional training of future philologists in higher education institutions in Ukraine. It determines and justifies the content of future philologists’ professional training on the example of the degree programme on Germanic Languages and Literature (including Translation), taking into account the new regulatory requirements. It describes the most effective forms, methods and technologies of organizing educational activities of future philologists. It clarifies the components of professional competency of future specialists in Germanic philology. It specifies the procedures and measures for assuring the internal quality of philological education at higher education institutions. Some general characteristics of future philologists’ professional training in higher education institutions in Ukraine, justified in the paper, have proved the need to update the content of such training and introduce effective organizational forms and methods of teaching and learning, which will promote the subject-subject interaction in the educational process, as well as contribute to personality development and assure the quality of education.
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40

Pawełczak, Marek. "ILE FUNTÓW NA FĀRSALA? MIARY I WAGI STOSOWANE W HANDLU ZANZIBARSKIM W OKRESIE 1830–1888." AFRYKA 50, no. 50 (February 20, 2020): 117–38. http://dx.doi.org/10.32690/afr50.6.

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How Many Pounds per Fārsala? Measures and Weights used in Zanzibar Trade in the Period 1830–1888 The article concerns the system of measures and weights used in the Sultanate of Zanzibar, mainly in the international port of Zanzibar in the years 1830-1888. The system was used in the trade between local, Arab, Indian and Western merchants. It drew from various traditions. In a relatively short time, after a period of standard negotiation between merchants and state offi cials, this eclectic system was, to some extent, embedded in the English tradition based on an ounce, pound and yard. While the measures of volume have retained their local character and have not been converted into European units, they have also been globalised through their weight equivalents. The author considers the Zanzibar system of measures and weights in a political and economic context. At the same time, he believes that the key to understanding the process of creating the Zanzibar system of measures and weights is to understand how it was conceptualised by the Western, and also indirectly local recipients.
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41

Bos, Gerrit. "Maimonides on Medicinal Measures and Weights, from his Galenic Epitomes." Aleph: Historical Studies in Science and Judaism 9, no. 2 (July 2009): 254–76. http://dx.doi.org/10.2979/ale.2009.9.2.254.

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42

Orobitg, Joan, and Carlos Pérez. "$A_p$ weights for nondoubling measures in $R^n$ and applications." Transactions of the American Mathematical Society 354, no. 5 (January 11, 2002): 2013–33. http://dx.doi.org/10.1090/s0002-9947-02-02922-7.

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43

Hu, Cheng-Kai, Fung-Bao Liu, and Cheng-Feng Hu. "Efficiency measures in fuzzy data envelopment analysis with common weights." Journal of Industrial & Management Optimization 13, no. 1 (2017): 237–49. http://dx.doi.org/10.3934/jimo.2016014.

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44

Gentry, Elizabeth J., Georgia L. Harris, and Val R. Miller. "Proficiency Testing Program for U.S. State Weights and Measures Laboratories." NCSLI Measure 7, no. 2 (June 2012): 60–70. http://dx.doi.org/10.1080/19315775.2012.11721599.

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45

Dent, J. Geoffrey. "Aspects of Change: Evolution and Revolution in Weights and Measures." Folk Life 31, no. 1 (January 1992): 36–42. http://dx.doi.org/10.1179/flk.1992.31.1.36.

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46

Misiorek, Violetta I., and Neil S. Barnett. "Mean Selection for Filling Processes under Weights and Measures Requirements." Journal of Quality Technology 32, no. 2 (April 2000): 111–21. http://dx.doi.org/10.1080/00224065.2000.11979983.

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47

Dent, J. Geoffrey. "Aspects of Change: Evolution and Revolution in Weights and Measures." Folk Life - Journal of Ethnological Studies 31, no. 1 (January 1, 1992): 36–42. http://dx.doi.org/10.1179/043087792798238724.

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48

Kilburn, Kaye H. "Weights and Measures SI Units—Archives Goes International in Style." Archives of Environmental Health: An International Journal 43, no. 1 (February 1988): 5–6. http://dx.doi.org/10.1080/00039896.1988.9934364.

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49

Tong, Cezhong, and Junfeng Li. "Carleson Measures on the Weighted Bergman Spaces with Békollé Weights." Chinese Annals of Mathematics, Series B 42, no. 4 (July 2021): 583–600. http://dx.doi.org/10.1007/s11401-021-0280-7.

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50

Pradeep Reddy, K., T. Raghunadha Reddy, G. Apparao Naidu, and B. Vishnu Vardhan. "Term Weight Measures Influence in Information Retrieval." International Journal of Engineering & Technology 7, no. 2 (May 31, 2018): 832. http://dx.doi.org/10.14419/ijet.v7i2.11664.

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Indexing was majorly used in different applications like information retrieval (IR), Document categorization. In the field of IR, indexer is used by search engines to represent the content of a document with short and content-bearing terms so that the retrieval process obtained great performance. The text index systems produce better results based on the assignment of suitable weights to the terms. These results crucially depend on the selection of the efficient term weighting measures. In this work, the experimentation carried out with different types of term weight measures to assign weights to the terms in the query and document representation. Cosine similarity measure is used to find the similarity between the query vector and document vector. The experimentation is performed on four standard datasets and recall as a performance evaluation measure. The results obtained in this work are promising than most of the approaches in IR field.
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