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Data discretization for novel relationship discovery in information retrieval
2002
Journal of the American Society for Information Science and Technology
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Users of the system may manipulate the retrieval set to explore document-document, document-concept, conceptconcept relationships in the retrieval set that might otherwise be masked by altering (a) the ...
This paper describes an information retrieval, visualization, and manipulation model. ...
Conclusions The discovery of novel relationships based on specific terms in the scientific literature has been shown increasingly to be valuable method in advancing research (Finn, 1998; Gardner & Goodyear ...
doi:10.1002/asi.10079
fatcat:fgkbwrr6yjc5zo3puaxvz6b2lq
Data discretization for novel resource discovery in large medical data sets
2000
Proceedings. AMIA Symposium
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This paper is motivated by the problems of dealing with large data sets in information retrieval. ...
The retrieval set as a whole is parsed into discrete concept-oriented subsets (based on within-set similarity measures) and displayed on screen as interactive "graphic nodes" in an information space, distributed ...
The interface lets the user explore the relationships between query and retrieval sets, as well as work with the data on multiple levels to find novel relationships uniquely suited to the need. ...
pmid:11079845
pmcid:PMC2243817
fatcat:y454d525hnaj7ivqaljd2kxgd4
Education Web Information Retrieval and Classification with Big Data Analysis
2016
Creative Education
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The web information retrieval mechanism is proposed based on web content segmentation. ...
In addition, we build a rule matching method to improve performance of rule utilization, in terms of information of interest to the user and the extent to the interesting part. ...
According to the conversion of discrete big data, the discrete type conversion has continuous value type in order to facilitate the symbolic induction. • The main purpose of big data transformation is ...
doi:10.4236/ce.2016.718265
fatcat:2h5h45qdzzd5rj6xgxqv22bxey
Knowledge Discovery meets Linked APIs
2013
Extended Semantic Web Conference
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In particular, approaches integrating Web APIs and Linked Data, also referred to as Linked APIs, provide novel opportunities for the application of synergy approaches with KDD methods. ...
Knowledge Discovery and Data Mining (KDD) is a very wellestablished research eld with useful techniques that explore patterns and regularities in large relational, structured and unstructured datasets. ...
Introduction Knowledge discovery is an interdisciplinary area that focuses on methodologies for identifying novel, potentially useful and meaningful patterns from data. ...
dblp:conf/esws/HoxhaMK13
fatcat:pmesdnhr5zexfpgp54hp3nkbfy
Mining Signatures from Event Sequences
2015
IJARCCE
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We have suggested clinical assessment for naked interactive knowledge discovery in large electronic health record databases. ...
This paper proposes a novel secular knowledge representation and learning framework to proposed largescale secular signature mining of longitudinal heterogeneous occasional data. ...
Pattern Discovery: Unlike in search and retrieval applications, in the pattern discovery there is no specific query in hand with which to search the database. ...
doi:10.17148/ijarcce.2015.44129
fatcat:up6onqghvje7rgj6bi4o4aw7ky
RRE-Finder: a Genome-Mining Tool for Class-Independent RiPP Discovery
2020
mSystems
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RRE-Finder can be used in precision mode to confidently identify RREs in a class-specific manner or in exploratory mode to assist in the discovery of novel RiPP classes. ...
Depending on user goals, RRE-Finder can operate in precision mode to accurately identify RREs present in known RiPP classes or in exploratory mode to assist with novel RiPP discovery. ...
ACKNOWLEDGMENTS This work was supported by the David and Lucile Packard Fellowship for Science and Engineering ...
doi:10.1128/msystems.00267-20
pmid:32873609
fatcat:4xphvyb2qnbrfakjpeylgzspdy
Knowledge Discovery in Databases KDD with Images: A Novel Approach toward Image Mining and Processing
2011
International Journal of Computer Applications
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We are in an age often referred to as the information age. ...
Our ability to analyze and understand massive datasets lags far behind our ability to gather and store data. Image and video data contains abundant, rich information for data miners to explore. ...
ID-3 Algorithm: ID3(Iterative Dichotomizer 3) algorithm is a process for the classification and analysis of information hidden in large data sets/databases, which retrieves useful information in the form ...
doi:10.5120/3307-4531
fatcat:uwbq34ejxne4bo2msdj3qlpww4
Discovering Complex Knowledge in Massive Building Operational Data Using Graph Mining for Building Energy Management
2019
Energy Procedia
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The knowledge discovery based on graph data can therefore be very helpful for revealing complex relationships in building operations. ...
The knowledge discovery based on graph data can therefore be very helpful for revealing complex relationships in building operations. ...
Data exploration adopts the decision tree method to characterize the building operation patterns, based on which the whole BAS data are divided for in-depth knowledge discovery. ...
doi:10.1016/j.egypro.2019.01.378
fatcat:a2e4e7eirbddjmu726qzltaxym
A Novel Approach Integrating Ranking Functions Discovery, Optimization and Inference to Improve Retrieval Performance
2010
International Journal of Soft Computing
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The significant roles play by ranking fllllction in the performance and success of Information Retrieval eIR) systems and search engines C31lllot be llllderestimated. ...
In this study, a novel three-stage integrated ranking framework is proposed for implementing discovering, optimizing and inference rankings used in IR systems. ...
Information stored by one person in a data repository is preferred to be retrieved by another. Emphasizing the WWW as the data repositories are used for continuing information both in space and time. ...
doi:10.3923/ijscomp.2010.155.163
fatcat:6dhfierlend4bklkmcxfoxiwa4
Using Linked Data Sources to Enhance Catalog Discovery
2022
KULA knowledge creation dissemination and preservation studies
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Our research explores how linked data sources and non-library metadata can support open-ended discovery of library resources. ...
We provide an overview of the questions driving our discovery experiments with linked data, a summary of some of our usability findings, as well as our design and implementation approach. ...
Mellon Foundation through the "Linked Data for Production: Pathway to Implementation (LD4P2)" and "Linked Data for Production: Closing the Loop (LD4P3)" grants. ...
doi:10.18357/kula.229
fatcat:tewxgkno5vfslhjqc5luyqrnra
Amplifying the differences between your positive samples and neighbors in image retrieval
2003
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)
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A novel method for retrieving images based on relevance feedback and clustering has been developed. ...
placed in their neighborhood. ...
EVALUATION
Prototype System In order to develop prototype system, Discrete Cosine Transform (for short, DCT) is used for feature extraction. ...
doi:10.1109/icme.2003.1220949
dblp:conf/icmcs/NakajimaKT03
fatcat:gix4cw2za5fr5nhnabcbehpodq
Discovering novel biomedical relations using ASKNet semantic networks
2011
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies - ISABEL '11
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proteins and genes, and secondly to automatically decide which of these relationships is genuinely novel in nature. ...
It is simply not feasible for researchers to read and absorb the sheer quantity of information available. For this reason, many important relationships are going undiscovered. ...
In the first network, we have a series of discrete network fragments, which may be able to provide information about specific facts, and could be useful for data mining. ...
doi:10.1145/2093698.2093780
dblp:conf/isabel/Harrington11
fatcat:zxaz6c5ig5da5jwwq2ygfcdxqi
CHD@ZJU: a knowledgebase providing network-based research platform on coronary heart disease
2013
Database: The Journal of Biological Databases and Curation
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discovery. ...
Almost half of the genes collected in CHD@ZJU were novel to other publicly available CHD databases. ...
With CHD@ZJU, we hope to provide an integrated platform to facilitate the research on CHD, especially for molecular mechanism dissection and novel therapeutics discovery. ...
doi:10.1093/database/bat047
pmid:23818526
pmcid:PMC3697781
fatcat:ccedcmva2ffxhfqst5een3t5me
Knowledge Discovery in Databases and Libraries
ENGLISH
2011
DESIDOC Journal of Library & Information Technology
ENGLISH
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So, intelligent tools for automated data mining and knowledge discovery are needed to deal with enormous data. ...
As library and information centres are considered the backbone of knowledge organisation, knowledge discovery in databases (KDD) is also getting attention of library and information scientists. ...
tasks such as discipline extractions Data mining (knowledge discovery) techniques can be incorporated for information retrieval process for better browsing and searching. ...
doi:10.14429/djlit.31.6.1319
fatcat:cpjjesfgfbc6dndvlczmkhwabe
RRE-Finder: A Genome-Mining Tool for Class-Independent RiPP Discovery
[article]
2020
bioRxiv
pre-print
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RRE-Finder can be used in precision mode to confidently identify RREs in a class-specific manner or in exploratory mode, which was designed to assist in the discovery of novel RiPP classes. ...
Here, we introduce RRE-Finder, a novel tool for identifying RRE domains with high sensitivity. ...
Alternatively, in exploratory mode, the user can retrieve a wider array of putative RRE-containing proteins to assist in the discovery of novel RRE-dependent RiPP classes. ...
doi:10.1101/2020.03.14.992123
fatcat:gjjgwubomnhjxdynre3ahjn5ba
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