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An environmental sensor network to determine drinking water quality and security

Anastassia Ailamaki, Christos Faloutos, Paul S. Fischbeck, Mitchell J. Small, Jeanne VanBriesen
2003 SIGMOD record  
In this paper, we describe an interdisciplinary research effort to couple knowledge discovery in large environmental databases with biological and chemical sensor networks, in order to revolutionize drinking  ...  model water quality and security dynamics, and (3) a sophisticated decision-analysis framework.  ...  RESEARCH APPROACH We expect that data-mining techniques coupled with expert knowledge of water-quality parameters will result in knowledge discovery from the wealth of water-quality data currently available  ... 
doi:10.1145/959060.959069 fatcat:disujpof2fcavamqvemirlke7i

Smart Query Answering for Marine Sensor Data

Md. Sumon Shahriar, Paulo De Souza, Greg Timms
2011 Sensors  
The smart query also uses query relaxation technique and semantics from domain knowledge as a recommender system.  ...  The proposed smart query benefits in building data and information systems for marine sensor networks.  ...  The knowledge can be derived from sensor data [5] with different phenomena such as water temperature and water quality that affect the fish movement and the fish abundance for different locations in  ... 
doi:10.3390/s110302885 pmid:22163772 pmcid:PMC3231582 fatcat:h4jwjqhlrfgthhwwsr6irmwi6a

A Spatial-based KDD Process to Better Understand the Spatiotemporal Phenomena

Hugo Alatrista Salas
2013 International Conference on Advanced Information Systems Engineering  
In this paper, we present a knowledge discovery process applied to hydrological data.  ...  To achieve this objective, we combine successive methods to extract knowledge on data collected at stations located along several rivers.  ...  Motivation Knowledge discovery in databases (KDD) is a dynamic research field.  ... 
dblp:conf/caise/Salas13 fatcat:r5joqwaq2vhdpheqisaeajumve

Image Access and Data Mining: An Approach [chapter]

Chabane Djeraba
2000 Lecture Notes in Computer Science  
They are statistical rules in the form of a Å b which means: if the visual feature "a" is true in an image then the visual feature "b" is true in the same image with a precision value.  ...  The transformation of image numerical features into image symbolic features needs a visual feature book in which each book feature is the gravity center of similar features.  ...  In the second step, the knowledge discovery engine determines automatically common features between the considered images in rule form.  ... 
doi:10.1007/3-540-45372-5_39 fatcat:lculo3u2jvbqbibpte7dhuzsw4


Jejung Lee, Yugyung Lee, Sanket Shah, James Geller
2007 Proceedings of the 2007 ACM symposium on Applied computing - SAC '07  
As a proof of concept, we demonstrate the HIS-KCWater system for supporting users in analyzing real time watershed data, predicting the water quality using hydrologic model simulators, interpreting the  ...  results, dynamically forecasting problems and generating alerts about water quality issues.  ...  ., so that a predication simulation can be done using data stored in the USGS database. Pragmatic Model: Pragmatic knowledge is about the situations (context) in which a service should be used.  ... 
doi:10.1145/1244002.1244008 dblp:conf/sac/LeeLSG07 fatcat:epndf6cfnrbwlb42godkqyzabq


Arya Mudgal*, Payal Rani Chaudhary*
2022 Zenodo  
Key words- CADD, Modern drug discovery, Bioinformatics, Databases, Techniques, Ligand based, Structure based.  ...  CADD stands for computational approaches and resources that aid in the development and discovery of novel therapeutics.  ...  As a result, CADD can significantly aid in the drug development and discovery process.  ... 
doi:10.5281/zenodo.6539500 fatcat:krga2djbgbenjeb2ibbqdzx74a

Discovery of Temporal Variation of Arsenic in a Historical Blackfoot Disease Territory by Time Series Analysis

Jan-Yee Lee, Ting-Nien Wu
2009 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery  
ARMA and ARIMA, the common time series modelling methods, were employed to interpret the information beneath the monitoring data of groundwater quality.  ...  The result showed that this developed numerical model can effectively interpret and forecast the arsenic level in groundwater from area affected by salinization and high arsenic level in Chianan Plain  ...  The established environmental database including air quality and water quality produces a huge amount of spatial and temporal data.  ... 
doi:10.1109/fskd.2009.707 dblp:conf/fskd/LeeW09 fatcat:efaiz4mlaned7jbivbeokmwsqy

Enterprise knowledge management

D.E. O'Leary
1998 Computer  
An alternative approach is to use a process called knowledge discovery to determine whether there is additional knowledge hidden in the data.  ...  In discussion groups like the Water-Cooler site, an electronic forum on best practices in acquisition management (, there is no information filtering, which  ...  O'Leary is the editor-in-chief of  ... 
doi:10.1109/2.660190 fatcat:t2zzxztf3bhu3fb3ruh7el3pae

Innovative applications of diagnosis, forecasting, pattern recognition and knowledge discovery in power systems

Manuel Mejia-Lavalle, Gustavo Arroyo-Figueroa, Eduardo F. Morales
2009 2009 IEEE Power & Energy Society General Meeting  
We present our experiences in five power systems domains where we applied diverse knowledge discovery -data mining techniques. The first domain is about electric generator diagnosis.  ...  We outline successful and bad practices, our contributions, and comment about possible solutions for future work that we think it has to be done to maximize the usefulness of knowledge discovery in the  ...  INTRODUCTION Knowledge discovery (KD) and data mining has been employed with success in various fields and in many real world problems [1] [2] .  ... 
doi:10.1109/pes.2009.5275859 fatcat:ad7vzvjuxjhcvpog5wtclbrtnq

HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis

Daniel P. Ames, Jeffery S. Horsburgh, Yang Cao, Jiří Kadlec, Timothy Whiteaker, David Valentine
2012 Environmental Modelling & Software  
Discovering and accessing hydrologic and climate data for use in research or water management can be a difficult task that consumes valuable time and personnel resources.  ...  New advances in cyberinfrastructure and in semantic mediation technologies have provided the means for creating better tools supporting data discovery and access.  ...  Acknowledgments The software described in this paper was developed as part of the Consortium of Universities for the Advancement of Hydrologic Science, Inc.  ... 
doi:10.1016/j.envsoft.2012.03.013 fatcat:rjy2zplyvvanlbrg7sadhozbmm

Application of Principal Component Analysis and Clustering to Spatial Allocation of Groundwater Contamination

Ting-Nien Wu, Chiu-Sheng Su
2008 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery  
Clustering technique was used to evaluate the similarities of water quality in groundwater samples, and 4 clusters were assigned in two-step cluster analysis (CA) in order to correspond with the number  ...  This paper presented a case study that conventional statistical methods were applied to mining environmental monitoring database to extract the patterns of groundwater contamination.  ...  The established environmental database including air quality and water quality produces a huge amount of spatial and temporal data.  ... 
doi:10.1109/fskd.2008.28 dblp:conf/fskd/WuS08 fatcat:bbonu5nrgzgrdaeuovw24s6hfe

Enabling Cross-Disciplinary E-Science by Integrating Geoscience Ontologies with Dolce

Boyan Brodaric, Florian Probst
2009 IEEE Intelligent Systems  
In this paper we present work-in-progress in which the DOLCE foundational ontology is used to integrate two geoscience knowledge representations, the GeoSciML schema and SWEET ontology, to enable cross-domain  ...  Emerging foundational ontologies have the potential to alleviate this problem by providing a coherent and complete conceptual basis for domain representations.  ...  Calculation of water contamination vulnerability then requires discovery and integration of data from these multiple sources and domains, within a single knowledge environment.  ... 
doi:10.1109/mis.2009.5 fatcat:2f7a7x5ilbcqtik7dmhyfaq5x4

An integrated system for publishing environmental observations data

Jeffery S. Horsburgh, David G. Tarboton, Michael Piasecki, David R. Maidment, Ilya Zaslavsky, David Valentine, Thomas Whitenack
2009 Environmental Modelling & Software  
system has been used to create a federated network of consistent research data out of a set of geographically decentralized and autonomous test bed databases.  ...  We present a new method for publishing research datasets consisting of point observations that employs a standard observations data model populated using controlled vocabularies for environmental and water  ...  Acknowledgments The data publication system described in this paper has been developed as part of the Consortium of Universities for the Advancement of Hydrologic Science, Inc.  ... 
doi:10.1016/j.envsoft.2009.01.002 fatcat:bklzjgsaivguvp7d3f6pwo6ibi

Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images [chapter]

Hongwen Kang, Martial Hebert, Alexei A. Efros, Takeo Kanade
2012 Lecture Notes in Computer Science  
We represent each region in the input image by a "bag" of database object regions. We group input regions together if they share similar "bags of regions."  ...  We propose an approach for object discovery that addresses this problem. We collect a database of about 5 million product images that capture 1.2 million objects from multiple views.  ...  Another example is that a water bottle could be similar to a pipe, a SLR lens, and some trash cans (e). In each row, the image segments used for query are outlined in green.  ... 
doi:10.1007/978-3-642-33783-3_57 fatcat:36i2ldsxz5dwfd3ljfyhf6pvvm

A Fishing Monitoring Use Case In Support To Collaborative Research

Anne-Laure Jousselme, Elena Camossi, Melita Hadzagic, Cyril Ray, Christophe Claramunt, Eric Reardon, Karna Bryan, Michael Ilteris
2016 Zenodo  
In proceedings of Maritime Knowledge Discovery and Anomaly Detection Workshop, Ispra, Varese, Italy, July 5-6 2016. p. 57-61.  ...  A.-L. Jousselme , E. Camossi , M. Hadzagic , C. Ray, C. Claramunt, E. Reardon , K. Bryan , M. Ilteris, "A Fishing Monitoring Use Case in support of collaborative research".  ...  scenarios in datAcron • AIS kinematic -based • Additional MSI may be required • MSI for contextual data datAcron MSIs for fishing monitoring Slide 11 Maritime Knowledge Discovery and Anomaly  ... 
doi:10.5281/zenodo.804844 fatcat:6feyhov375dwjh2pckrny3in5e
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