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Titlebook: Research and Development in Intelligent Systems XXVI; Incorporating Applic Max Bramer,Richard Ellis,Miltos Petridis Conference proceedings

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书目名称Research and Development in Intelligent Systems XXVI
副标题Incorporating Applic
编辑Max Bramer,Richard Ellis,Miltos Petridis
视频video
图书封面Titlebook: Research and Development in Intelligent Systems XXVI; Incorporating Applic Max Bramer,Richard Ellis,Miltos Petridis Conference proceedings
描述The most common document formalisation for text classi?cation is the vector space model founded on the bag of words/phrases representation. The main advantage of the vector space model is that it can readily be employed by classi?cation - gorithms. However, the bag of words/phrases representation is suited to capturing only word/phrase frequency; structural and semantic information is ignored. It has been established that structural information plays an important role in classi?cation accuracy [14]. An alternative to the bag of words/phrases representation is a graph based rep- sentation, which intuitively possesses much more expressive power. However, this representation introduces an additional level of complexity in that the calculation of the similarity between two graphs is signi?cantly more computationally expensive than between two vectors (see for example [16]). Some work (see for example [12]) has been done on hybrid representations to capture both structural elements (- ing the graph model) and signi?cant features using the vector model. However the computational resources required to process this hybrid model are still extensive.
出版日期Conference proceedings 2010
关键词Data Mining; Extension; Kernel; Knowledge Discovery; Optimisation and Planning; artificial intelligence; c
版次1
doihttps://doi.org/10.1007/978-1-84882-983-1
isbn_softcover978-1-84882-982-4
isbn_ebook978-1-84882-983-1
copyrightSpringer-Verlag London 2010
The information of publication is updating

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M. Sulaiman Khan,F. Coenen,D. Reid,R. Patel,L. Archer women and men. This chapter updates that work, roughly 14 years later. Women’s and men’s roles continue to change compared with earlier decades. For example, today women outnumber men in college, and women constitute 49.4 % of the US workforce. Newer scientific evidence continues to support expansi
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Michael P. O’Mahony,Barry Smythf stress” (Hyde, in chapter “Women, Men, Work, and Family: Expansionist Theory Updated”). In addressing this thesis and the supporting research proposed by Hyde (in chapter “Women, Men, Work, and Family: Expansionist Theory Updated”), the chapter addresses three key questions in relation to expansio
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John Debenham,Carles Sierraanonical and lesser-known literary works to assess their treThis book examines diverse literary writings in Bangla related to crime in late nineteenth and early twentieth century colonial Bengal, with a timely focus on gender. It analyses crime-centred fiction and non-fiction in the region to see ho
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