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A Novel Operation Sequence Similarity-Based Approach for Typical Process Route Knowledge Discovery

Binzi Xu, Yan Wang, Zhicheng Ji
2021 IEEE Access  
To achieve this goal, this paper proposed a discovery method for typical process routes that contains two parts: a novel comprehensive similarity coefficient for process routes and a modified exemplar-based  ...  CLUSTERING ALGORITHMS The second phase of typical process route knowledge discovery is clustering process routes based on the proposed operation sequence similarity coefficient.  ... 
doi:10.1109/access.2021.3105966 fatcat:uzpae53bwvgzhaxvx7vpejncsi

Alternative methods of processing bio-feedstocks in formulated consumer product design

Nicolai Peremezhney, Philipp-Maximilian Jacob, Alexei Lapkin
2014 Frontiers in Chemistry  
We conceptualize some novel approaches to processing bio-feedstocks with the aim of bypassing the step of a fixed library of ingredients.  ...  Our current approach to formulated products design is based on heuristic knowledge of formulators that allows selecting individual compounds from a library of available materials with known properties.  ...  ACKNOWLEDGMENTS Philipp-Maximilian Jacob is grateful to Peterhouse, Cambridge, as well as the Cambridge Home and European Scholarship Scheme for PhD scholarships.  ... 
doi:10.3389/fchem.2014.00026 pmid:24860803 pmcid:PMC4026751 fatcat:pj4xe23qtzb7vb7nlc7cgdbdny

Online Long-Term Trajectory Prediction Based on Mined Route Patterns [chapter]

Petros Petrou, Panagiotis Tampakis, Harris Georgiou, Nikos Pelekis, Yannis Theodoridis
2020 Lecture Notes in Computer Science  
In this paper, we present a Big data framework for the prediction of streaming trajectory data by exploiting mined patterns of trajectories, allowing accurate long-term predictions with low latency.  ...  The experimental study is based on real-world aviation and maritime datasets.  ...  This research has also been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation  ... 
doi:10.1007/978-3-030-38081-6_4 fatcat:6n5heoumwfguln3chpcp35uifm

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms

Bryan Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj Oza
2013 Journal of Aerospace Information Systems  
In this paper we discuss recent advances in the development of a novel knowledge discovery process consisting of a suite of data mining techniques for identifying precursors to aviation safety incidents  ...  This novel automated knowledge discovery process is aimed at complimenting the state-of-theart human-generated exceedance-based analysis that fails to discover previously unknown aviation safety incidents  ...  We would also like to thank Irv Statler, Bob Lawrence, Mike Feary, Immanuel Barshi and the partner air carrier for providing data and expertise.  ... 
doi:10.2514/1.i010080 fatcat:gvy7djz5wzdhtksf4hut5zujxu

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms

Bryan Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj Oza
2014 Journal of Aerospace Information Systems  
In this paper we discuss recent advances in the development of a novel knowledge discovery process consisting of a suite of data mining techniques for identifying precursors to aviation safety incidents  ...  This novel automated knowledge discovery process is aimed at complimenting the state-of-theart human-generated exceedance-based analysis that fails to discover previously unknown aviation safety incidents  ...  We would also like to thank Irv Statler, Bob Lawrence, Mike Feary, Immanuel Barshi and the partner air carrier for providing data and expertise.  ... 
doi:10.2514/1.i010211 fatcat:igwifmgmezbmpca7euxoac2gn4

Metagenomics: An inexhaustible access to nature's diversity

Martin Langer, Esther M. Gabor, Klaus Liebeton, Guido Meurer, Frank Niehaus, Renate Schulze, Jürgen Eck, Patrick Lorenz
2006 Biotechnology Journal  
The chemical industry has an enormous need for innovation. To save resources, energy and time, currently more and more established chemical processes are being switched to biotechnological routes.  ...  This requires white biotechnology to discover and develop novel enzymes, biocatalysts and applications.  ...  Although both sequence-similarity-based screening and activity-based screening may retrieve valuable catalysts from the metagenome (Fig. 3) , the activity based approach holds more potential for identifying  ... 
doi:10.1002/biot.200600111 pmid:16897828 fatcat:tvlbn6tvxzalnczctzdhvdt5tm

Efficient ticket routing by resolution sequence mining

Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos Anerousis
2008 Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08  
The efficiency of this process highly depends on ticket routing-transferring problem ticket among various expert groups in search of the right resolver to the ticket.  ...  In this paper, we address the possibility of improving ticket routing efficiency by mining ticket resolution sequences alone, without accessing ticket content.  ...  A Case Study To better illustrate why our approach improves ticket routing, we present a case study based on a real ticket resolution sequence.  ... 
doi:10.1145/1401890.1401964 dblp:conf/kdd/ShaoCTYA08 fatcat:2una4cnhm5bxfkdkxykhc7kg6a

A Survey on Trajectory Data Mining: Techniques and Applications

Zhenni Feng, Yanmin Zhu
2016 IEEE Access  
A trajectory is typically represented by a sequence of timestamped geographical locations. A wide spectrum of applications can benefit from the trajectory data mining.  ...  This framework and the survey can be used as a guideline for designing future trajectory data mining solutions. INDEX TERMS Trajectory data mining, big data applications, data mining techniques.  ...  One typical application is route recommendation for a trip to multiple places.  ... 
doi:10.1109/access.2016.2553681 fatcat:bwz3c6oyfjahroihps7i3wo76q

A Correlation Driven Approach with Edge Services for Predictive Industrial Maintenance

Meiling Zhu, Chen Liu
2018 Sensors  
This present paper proposes a correlation-based event routing approach for predictive industrial maintenance by improving our previous works.  ...  Almost all current predictive industrial maintenance techniques construct a model based on prior knowledge or data at build-time.  ...  On the other hand, if a sensor data sequence has similar subsequences, such as sudden drop, the discord discovery approach will not identify such subsequences as the most dissimilar ones.  ... 
doi:10.3390/s18061844 pmid:29874887 pmcid:PMC6022209 fatcat:kvuxznrxtfc5zgl2kkrc6ccpnu

Drug Discovery Acceleration Using Digital Microfluidic Biochip Architecture and Computer-aided-design Flow

2019 International Journal of Engineering  
A Digital Microfluidic Biochip (DMFB) offers a promising platform for medical diagnostics, DNA sequencing, Polymerase Chain Reaction (PCR), and drug discovery and development.  ...  On the other hand, DMFB can be a great solution for miniaturization, integration, automation, and cost reduction of drug discovery.  ...  Lab-on-Chip technology as a novel technique offers a wide range of benefits for drug discovery applications.  ... 
doi:10.5829/ije.2019.32.08b.13 fatcat:7qezfhg7evenvjc4cby7wnk45a

Idea2Data: Towards a New Paradigm for Drug Discovery

Christos A Nicolaou, Christine Humblet, Hong Hu, Eva-Marie Martín de la Nava, Frank C. Dorsey, Thomas M. Castle, Keith Ian Burton, Haitao Hu, Jorg Hendle, Michael J. Hickey, Joel Duerksen, Jibo Wang (+1 others)
2019 ACS Medicinal Chemistry Letters  
In this Innovations paper, we describe the I2D process and present an application for the discovery of new ULK inhibitors.  ...  and experimental components of the drug discovery process.  ...  In a typical I2D run, 50−150 chemical structures are selected for synthesis on the ASL from 100 to 300 PLC hits based on an overall desirability assessment.  ... 
doi:10.1021/acsmedchemlett.8b00488 pmid:30891127 pmcid:PMC6421544 fatcat:k5tax75o5jds5ifymiblgf3u3m

Utilising Graph Machine Learning within Drug Discovery and Development [article]

Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell (+2 others)
2021 arXiv   pre-print
Herein, we present a multidisciplinary academic-industrial review of the topic within the context of drug discovery and development.  ...  Graph Machine Learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular structures, the functional relationships between  ...  [71] , is a fundamental approach designed to embed entities based on a similarity derived graph.  ... 
arXiv:2012.05716v2 fatcat:kre2kx3x4ff43mmuh7khrxmmzy

A Phage-Guided Route to Discovery of Bioactive Rare Actinomycetes [chapter]

D.I. Kurtbke
2012 Bacteriophages  
These developments have led to a shift in the discovery of novel vaccines and antimicrobials from the traditional empirical approach to a novel knowledge-based approach.  ...  Genomics based approaches to drug discovery Since early 2000s, information from completed genome sequences and genomic based technologies has been a driving force in antibiotic discovery resulting in new  ... 
doi:10.5772/33923 fatcat:55wk3f7defgv7ldy7pb4vhajdy

Music Retrieval Over Wireless Ad-Hoc Networks

I. Karydis, A. Nanopoulos, A. Papadopoulos, D. Katsaros, Y. Manolopoulos
2008 IEEE Transactions on Audio, Speech, and Language Processing  
We propose novel techniques, which attain a significant reduction in both response time and network traffic, compared to naive approaches.  ...  a network of wireless mobile hosts.  ...  AODV [38] shares DSR's on-demand characteristics in that it also discovers routes on an "as needed" basis via a similar route discovery process.  ... 
doi:10.1109/tasl.2008.925874 fatcat:wfqmsynkxzci7eqav6ne7dxve4

Enhanced hit-to-lead process using bioanalogous lead evolution and chemogenomics: application in designing selective matrix metalloprotease inhibitors

Ákos Papp, Tamás Szommer, László Barna, Gergely Gyimesi, Péter Ferdinandy, Cesare Spadoni, Ferenc Darvas, Toshio Fujita, László Ürge, György Dormán
2007 Expert Opinion on Drug Discovery  
The authors describe an innovative approach for designing novel inhibitors.  ...  This approach effectively integrates the emerging chemogenomics concept of target-family-based drug discovery with bioanalogous design strategies, including privileged structures, molecular frameworks  ...  Acknowledgements The authors acknowledge the support from the Agency for  ... 
doi:10.1517/17460441.2.5.707 pmid:23488960 fatcat:g2fzmagqabahhgyanunuvnuagi
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