Hits 1.601 – 1.620 of 1.620
1601 |
Sentiment Analysis of Movie Reviews using POS tags and Term Frequencies
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In: http://research.ijcaonline.org/volume96/number25/pxc3897048.pdf
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1602 |
©ARC Page 29 Holistic Prediction of Student Attrition in Higher Learning Institutions in Malaysia Using Support Vector Machine Model
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In: http://www.arcjournals.org/pdfs/ijrscse/v1-i1/4.pdf
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1603 |
Towards Improvements On Domain-Independent Measurements For Collaborative Assessment
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In: http://educationaldatamining.org/EDM2011/wp-content/uploads/proc/edm2011_poster2_Anaya.pdf
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1604 |
2011b. Social Context Summarization
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In: http://keg.cs.tsinghua.edu.cn/jietang/publications/SIGIR11-Yang-et-al-social-context-summarization.pdf
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1605 |
Performance Analysis of Learning Classifiers for Spoken Digit Under Noisy Conditions
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In: http://www.cisjournal.org/journalofcomputing/archive/vol4no3/vol4no3_6.pdf
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1606 |
Relational Concept Discovery in Structured
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In: http://www.iro.umontreal.ca/~valtchev/Papiers/valtchev-et-al-DAM-JIM03.pdf.gz
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Abstract:
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as databases, both relational and object-oriented, or software models, e.g., UML class diagrams. When processing such complex datasets, it is of prime importance for an analysis tool to hold as much as possible to the initial format so that the semantics is preserved and the interpretation of the final results eased. Therefore, several attempts have been made to introduce relations into the formal concept analysis field which otherwise generated a large number of knowledge discovery methods and tools. However, the proposed approaches invariably look at relations as an intra-concept construct, typically relating two parts of the concept description, and therefore can only lead to the discovery of coarse-grained patterns. As an approach towards the discovery of finer-grain relational concepts, we propose to enhance the classical (object x attribute) data representations with a new dimension that is made out of inter-object links (e.g., spouse, friend, manager-of, etc.). Consequently, the discovered concepts are linked by relations which, like associations in conceptual data models such as the entity-relation diagrams, abstract from existing links between concept instances. The borders for the application of the relational mining task are provided by what we call a relational context family, a set of binary data tables representing individuals of various sorts (e.g., human beings, companies, vehicles, etc.) related by additional binary relations As we impose no restrictions on the relations in the dataset, a major challenge is the processing of relational loops among data items. We present a method for constructing concepts on top of circular descriptions which is based on an iterative approximation of the final solution. The underlying construction methods are illustrated through their application to the restructuring of class hierarchies in object-oriented software engineering, which are described in UML.
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Keyword:
conceptual scaling; Galois/concept lattices; Key Words; lattice constructing algorithms; relational; relational data mining
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URL: http://www.iro.umontreal.ca/~valtchev/Papiers/valtchev-et-al-DAM-JIM03.pdf.gz http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.985
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1607 |
[Extended Abstract] Why Philosophy? Why Now? Engineering Responds to the Crisis of a Creative Era
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In: http://philsci-archive.pitt.edu/4513/1/Why-phil-why-now.pdf
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1608 |
In Search of Cinderella: A Transaction Log Analysis of Folktale Searchers
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In: http://www.dongnguyen.nl/publications/trieschnigg-enrich2013.pdf
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1609 |
Web Service Programming for Biological Text Mining
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In: http://lair.indiana.edu/sigirbio/final/ghanem.pdf
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1610 |
A Less Cumulative Algorithm of Mining Linguistic Browsing Patterns in the World Wide Web
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In: http://www.eusflat.org/publications/proceedings/EUSFLAT_2007/papers/Dyczkowski_Krzysztof_(86).pdf
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1611 |
A Hybrid System Using PSO and Data Mining for Determining the Ranking of a New Participant in
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In: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1713.pdf
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1612 |
Mining Entity Translations from Comparable Corpora: A Holistic Graph Mapping Approach
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In: http://www.postech.ac.kr/~swhwang/CIKM11a.pdf
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1613 |
FUZZY MINER: EXTRACTING FUZZY RULES FROM NUMERICAL PATTERNS *
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In: http://isl.cs.unipi.gr/db/pubs/journals/ijdwm05.pdf
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1614 |
Learning multiple non-redundant codebooks with word clustering for document classification
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1615 |
Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach.
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1617 |
Using data mining to differentiate instruction in college algebra
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1618 |
Multi-level mining and visualization of scientific text collections
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1620 |
Evaluating behavioral and linguistic changes during drug treatment for depression using tweets in spanish: pairwise comparison study
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