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1. |
Record Nr. |
UNINA9910694859303321 |
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Titolo |
Ambient water quality criteria recommendations [[electronic resource] ] : information supporting the development of state and tribal nutrient criteria for rivers and streams in nutrient ecoregion X - Texas-Louisiana Coastal and Mississippi alluvial plains, including all or parts of the states of Texas, Louisiana, Mississippi, Arkansas, Tennessee, Kentucky, Missouri, and Illinois, and the authorized Tribes within the Ecoregion |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : United States Environmental Protection Agency, Office of Water, Office of Science and Technology, Health and Ecological Criteria Division, , [2001] |
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Descrizione fisica |
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140 pages : digital, PDF file |
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Soggetti |
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Water quality - Government policy - Texas |
Water quality - Government policy - Louisiana |
Water quality - Government policy - Mississippi |
Water quality - Government policy - Arkansas |
Water quality - Government policy - Tennessee |
Water quality - Government policy - Kentucky |
Water quality - Government policy - Missouri |
Water quality - Government policy - Illinois |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed on Mar. 8, 2006). |
"December 2001." |
"EPA 822-B-01-016." |
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2. |
Record Nr. |
UNISA996508670003316 |
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Titolo |
Big Data Analytics : 10th International Conference, BDA 2022, Hyderabad, India, December 19–22, 2022, Proceedings / / edited by Partha Pratim Roy, Arvind Agarwal, Tianrui Li, P. Krishna Reddy, R. Uday Kiran |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (282 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13773 |
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Disciplina |
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Soggetti |
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Data mining |
Machine learning |
Computers, Special purpose |
Social sciences - Data processing |
Education - Data processing |
Data Mining and Knowledge Discovery |
Machine Learning |
Special Purpose and Application-Based Systems |
Computer Application in Social and Behavioral Sciences |
Computers and Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Big Data Analytics: Vision and Perspectives -- Data Challenges and Societal Impacts – the case in favor of the Blueprint for an AI Bill of Rights -- Big Data in Cognitive Neuroscience: Opportunities and Challenges -- Data Science: Architectures -- A Novel Feature Selection Based Text Classification using Multi-layer ELM -- ARCORE: Software Requirements Dataset for Service Identification -- ARCORE: Software Requirements Dataset for Service Identification -- Learning enhancement using Question-Answer generation for e-book using contrastive fine-tuned T5 -- Data Science: Applications -- A Machine and Deep Learning Framework to Retain Customers based on their Lifetime Value -- A Deep Learning based Approach to Automate |
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Clinical Coding of Electronic Health Records -- Determining the severity of Dementia using ensemble learning -- Determining the severity of Dementia using ensemble learning -- A distributed ensemble machine learning technique for emotion classification from vocal cues -- Graph Analytics. -Drugomics: Knowledge Graph & AI to Construct Physicians' Brain Digital Twin to Prevent Drug Side-effects and Patient Harm -- Extremely Randomized Tree based Sentiment Polarity Classification on Online Product Reviews -- Community Detection in Large Directed Graphs -- Pattern Mining -- FastTIRP: Efficient discovery of Time-Interval Related Patterns -- Discovering Top-K Periodic Patterns in Temporal Databases -- Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets -- Predictive Analytics in Agriculture -- A Data-driven, Farmer-oriented Agricultural Crop Recommendation Engine (ACRE) -- Analyze the Impact of Weather Parameters for Crop Yield Prediction using Deep Learning -- Analysis of Weather Condition based Reuse among Agromet Advisory: A Validation Study. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022. The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical sections: Big Data Analytics: Vision and Perspectives; Data Science: Architectures; Data Science: Applications; Graph Analytics; Pattern Mining; Predictive Analytics in Agriculture. |
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