Working with Large and Complex Datasets

2020 ◽  
pp. 585-882
Author(s):  
Thomas W. MacFarland ◽  
Jan M. Yates
Keyword(s):  
Complex Datasets

Big Data using KV-Store Databases

2017 ◽  
Vol 7 (12) ◽  
pp. 104
Author(s):  
Harshal Shastri ◽  
Vatika Sharma ◽  
Vinitkumar Gupta
Keyword(s):  
Big Data ◽  
Complex Datasets

Big Data is a collection of datasets which are large and complex. Datasets can be structured or unstructured which gets input from various sources. KV-Store is a database in which data will be stored in key and value where each data have different key and value.  With the help of KV(key-value) database we can support multiple CRUD operations at a time.

scholarly journals An intelligent data pre-processing of complex datasets

2012 ◽  
Vol 16 (2) ◽  
pp. 305-325 ◽  
Author(s):  
Shuzlina Abdul-Rahman ◽  
Azuraliza Abu Bakar ◽  
Zeti-Azura Mohamed-Hussein
Keyword(s):  
Complex Datasets

scholarly journals Multilevel Integration Entropies: The Case of Reconstruction of Structural Quasi-Stability in Building Complex Datasets

Entropy ◽  
2017 ◽  
Vol 19 (4) ◽  
pp. 172 ◽  
Author(s):  
Slobodan Maletić ◽  
Yi Zhao
Keyword(s):  
Complex Datasets

Machine Learning for Precision Medicine

Genome ◽  
2020 ◽  
Author(s):  
Sarah J MacEachern ◽  
Nils Daniel Forkert
Keyword(s):  
Machine Learning ◽  
Computer Science ◽  
Precision Medicine ◽  
Complex Data ◽  
Unseen Data ◽  
Health And Disease ◽  
Diagnostic Approaches ◽  
Exploratory Data ◽  
Science Methodology ◽  
Complex Datasets

Precision medicine is an emerging approach to clinical research and patient care that focuses on understanding and treating disease by integrating multimodal or ‘multi-omics’ data from an individual to make patient-tailored decisions. With the large and complex datasets generated using precision medicine diagnostic approaches, novel techniques to process and understand these complex data were needed. At the same time, computer science has progressed rapidly to develop techniques that enable the storage, processing, and analysis of these complex datasets, a feat that traditional statistics and early computing technologies could not accomplish. Machine learning, a branch of artificial intelligence, is a computer science methodology that aims to identify complex patterns in data that can be used to make predictions or classifications on new unseen data or for advanced exploratory data analysis. Machine learning analysis of precision medicine’s multimodal data allows for broad analysis of large datasets and ultimately a greater understanding of human health and disease. This review focuses on machine learning utilization for precision medicine’s “big data”, in the context of genetics, genomics, and beyond.

scholarly journals Data-driven discovery of PDEs in complex datasets

2019 ◽  
Vol 384 ◽  
pp. 239-252 ◽  
Author(s):  
Jens Berg ◽  
Kaj Nyström
Keyword(s):  
Data Driven ◽  
Complex Datasets
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