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Knowledge discovery in deductive databases with large deduction results: the first step

Chien-Le Goh, M. Tsukamoto, S. Nishio
1996 IEEE Transactions on Knowledge and Data Engineering  
This paper presents the first step in the application of knowledge discovery techniques to deductive databases with large deduction results.  ...  In order to overcome this problem, we propose four methods to discover characterisbc rules from large amount of deduction results without actually having to store all the deduction results.  ...  ACKNOWLEDGMENTS The authors wish to thank th onymous reviewers for their invaluable comments. This research was supported, in part, by the Artificial Intelligence Research Promotio  ... 
doi:10.1109/69.553162 fatcat:gjsexriig5cuvftxdledgawiva

No wisdom in the crowd: genome annotation in the era of big data - current status and future prospects

Antoine Danchin, Christos Ouzounis, Taku Tokuyasu, Jean-Daniel Zucker
2018 Microbial Biotechnology  
By combining deduction, induction and abduction, investigators can generate hypotheses when accurate knowledge is extracted from model databases.  ...  Discovery-driven genome research rests on knowledge passed on via gene annotations.  ...  Acknowledgements This work was benefited from almost three decades of discussions with members of the INSDC (DDBJ, ENA/ EBI-EMBL and GenBank).  ... 
doi:10.1111/1751-7915.13284 pmid:29806194 pmcid:PMC6011933 fatcat:d47zkrgxdvgofo47n2w562ycvy

Metabolomics by numbers: acquiring and understanding global metabolite data

Royston Goodacre, Seetharaman Vaidyanathan, Warwick B. Dunn, George G. Harrigan, Douglas B. Kell
2004 Trends in Biotechnology  
Extracting the most meaningful elements of these data is thus key to generating useful new knowledge with mechanistic or explanatory power.  ...  Thus, as the 'downstream' result of gene expression, changes in the metabolome are expected to be amplified relative to changes in the transcriptome and the proteome [12].  ...  ., S.V. and D.B.K. are most grateful to the UK BBSRC, UK EPRSC and UK NERC for supporting our work. References  ... 
doi:10.1016/j.tibtech.2004.03.007 pmid:15109811 fatcat:hkrzmdehybbutigktdo5u4fwqa

Metabolomics by numbers: acquiring and understanding global metabolite data

R GOODACRE
2004 Trends in Biotechnology  
., S.V. and D.B.K. are most grateful to the UK BBSRC, UK EPRSC and UK NERC for supporting our work.  ...  Techniques that can handle a large number of samples with minimal sample preparation but are still capable of providing relevant chemical information are well suited for generating rapid fingerprints.  ...  The end result of this procedure is a list of metabolites (either known metabolites found in databases such as KEGG or unique MS profiles associated with a specific GC retention time) and a list of their  ... 
doi:10.1016/s0167-7799(04)00081-2 fatcat:ohczfm2dtzhinp6k7k3f6hfo4q

Inventing Discovery Tools: Combining Information Visualization with Data Mining [chapter]

Ben Shneiderman
2001 Lecture Notes in Computer Science  
Information visualization researchers believe in the importance of giving users an overview and insight into the data distributions, while data mining researchers believe that statistical algorithms and  ...  I claim that a combined approach could lead to novel discovery tools that preserve user control, enable more effective exploration, and promote responsibility.  ...  Acknowledgments Thanks to Mary Czerwinski, Lindley Darden, Harry Hochheiser, Jenny Preece, and Ian Witten for comments on drafts.  ... 
doi:10.1007/3-540-45583-3_6 fatcat:sy5xac7tlnfaliq5cjm2liihym

The mass-action law based algorithm for cost-effective approach for cancer drug discovery and development

Ting-Chao Chou
2011 American Journal of Cancer Research  
The mass-action law based system analysis via mathematical induction and deduction lead to the generalized theory and algorithm that allows computerized simulation of dose-effect dynamics with small size  ...  drug analysis or for multiple drug combinations in constant-ratio or non-constant ratios.  ...  to extraordinary results in the drug discovery process.  ... 
pmid:22016837 pmcid:PMC3196289 fatcat:4opvhtzwbnbfjcej22fenttneu

PyFlag – An advanced network forensic framework

M.I. Cohen
2008 Digital Investigation. The International Journal of Digital Forensics and Incident Response  
This paper describes the PyFlag architecture and in particular how that is used in the network forensics context.  ...  The type scanner looks at the file header (sometimes called magic) and determines the file type from the header. This is stored in a database table.  ...  Other times information will be stored in the database about the VFS inodes in specialised tables. For example, the zip scanner targets zip files.  ... 
doi:10.1016/j.diin.2008.05.016 fatcat:4yit7ypdujbgnieynuh42osvry

Deciphering the Enigma of Human Creativity: Can a Digital Computer Think?

Felix T
2013 Journal of computer science and systems biology  
even after the fact, c) a peculiar event happening at the discovery time, known as the "aha" phenomenon, d) a type of accidental discoveries known as serendipity.  ...  of a number of highly creative individuals, who confessed that they had a penchant for visual thinking.  ...  Notes added in the proof Recently, a team of scientists at the Department of Psychological and Brain Sciences of Dartmouth College reported the finding of the locus of mental imagery.  ... 
doi:10.4172/jcsb.1000120 fatcat:772vxiapvjhfpa4id6fvy66oou

An Old Discipline with a New Twist: The Course "Logic in Action"

Johan van Benthem
2017 IfColog journal of logics and their applications (FLAP)  
Each submission for this special issue were assigned to two reviewers. We are immensely grateful to  ...  We are also very grateful to the Editorial Board of IfCoLog for agreeing in publishing this volume. Thanks are due to Jane Spurr, M. Antonia Huertas Sánchez, Dov Gabbay and Michael Gabbay.  ...  September 2016, Sophie Pinchinat & François Schwarzentruber Acknowledgements The author wishes to thank Matt Gray, Kahlil Hodgson, Daniel Pekevski, Nathan Ryan and Wayne Tsai for help in scripting Logic  ... 
dblp:journals/flap/Benthem17 fatcat:e5d54ekdhrbmjcs3ywmfzhaslm

Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy

Warwick B. Dunn, David I. Broadhurst, Helen J. Atherton, Royston Goodacre, Julian L. Griffin
2011 Chemical Society Reviews  
Technological developments are the driving force behind advances in scientific knowledge.  ...  The applications of metabolomics in mammalian systems biology for the study of the health-disease continuum, drug efficacy and toxicity and dietary effects on mammalian health will be reviewed.  ...  Work in JLG's laboratory is funded by the EU (MetaCancer), the Medical Research Council, the BBSRC, the Wellcome Trust, GlaxoSmithKline and Syngenta.  ... 
doi:10.1039/b906712b pmid:20717559 fatcat:lu23uhl4xrfwtp2h4jvswfgzie

"A veritable bucket of facts" origins of the data base management system

Thomas Haigh
2006 SIGMOD record  
Acknowledgments ACKNOWLEDGMENTS The research achievements at KDBS Lab is the result of the work of many present and past members of the group.  ...  This work has been partially supported by the European Commission under the contract IST-FP6-004559 (project SODIUM: Service Oriented Development in a Unified fraMework).  ...  Both of these core techniques, magic sets rewriting and semi-naive evaluation, were developed initially in the deductive database community.  ... 
doi:10.1145/1147376.1147382 fatcat:pk5odqlhqnctdepmcrfsriputi

Modern Applied Science, Vol. 3, No. 6, June 2009, all in one file, Part A

Editor MAS
2009 Modern Applied Science  
Her view -that focusing on teaching theory rather than on applications -was providing me solid academic foundation in Computer Science.  ...  She created the freedom for me to do want I thought was best, while giving me ample opportunities to make the most out for my Trinity year.  ...  result in the generation of Knowledge Discovery in Databases (KDD).  ... 
doi:10.5539/mas.v3n6p0a fatcat:dmlmamahxndkhjrxqqixuoflfy

Nature: A Tool Resulting from the Union of Artificial Intelligence and Natural Language Processing for Searching Research Projects in Colombia

Felipe Cujar-Rosero, David Santiago Pinchao Ortiz, Silvio Ricardo Timarán Pereira, Jimmy Mateo Guerrero Restrepo
2021 International Journal of Artificial Intelligence & Applications  
This paper presents the final results of the research project that aimed for the construction of a tool which is aided by Artificial Intelligence through an Ontology with a model trained with Machine Learning  ...  The tests showed that NATURE was successful in all the searches that were performed as its results were satisfactory.  ...  Figure 8 . 8 Result of method with Word2vec for word "cultivos"Figure 9indicates the 10 words most similar and related to the word "fresa".  ... 
doi:10.5121/ijaia.2021.12401 fatcat:4r3fdjuulvdxlaixmpwow4pg3i

Are current research approaches inmarketing leading us astray?

Evert Gummesson
2001 Marketing Theory  
It questions the mainstream choice of approaches and suggests alternative directions with qualitative rather than quantitative inquiry in focus.  ...  This article is about methodology in research in marketing.  ...  An article with a focus on the known, that is the outcome of the process of knowing and particularly the road to a more a general marketing theory, is in progress.  ... 
doi:10.1177/147059310100100102 fatcat:kboi32mezjdujmecylatlyii4m

Life beyond big data: governing with little analytics

Louise Amoore, Volha Piotukh
2015 Economy and Society  
The advent of techniques of knowledge discovery affords the capacity for the analytics to derive the object or subject of interest from clusters and patterns in large volumes of data, otherwise imperceptible  ...  The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes  ...  While in statistical forms of large volume data the object of interest emerges from the testing of probabilistic assumptions or queries, with the output being a subset of a database, in knowledge discovery  ... 
doi:10.1080/03085147.2015.1043793 fatcat:yujrwhq4lrf5nh6slx2p52cmeu
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