Results 61 to 70 of about 25,322,466 (386)

Big Data Visualization Tools

, 2018
Data visualization is the presentation of data in a pictorial or graphical format, and a data visualization tool is the software that generates this presentation. Data visualization provides users with intuitive means to interactively explore and analyze
Bikakis, Nikos
core   +1 more source

The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada

Population Ecology, EarlyView.
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley   +1 more source

Network topology drives population temporal variability in experimental habitat networks

Population Ecology, EarlyView.
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu, J. Angus Webb, William D. Bovill, Elise L. King   +3 more
wiley   +1 more source

Geographic variation in walking activity in the red flour beetle Tribolium castaneum

Population Ecology, EarlyView.
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley   +1 more source

Metricizing policy texts: Comprehensive dataset on China’s Agri-policy intensity spanning 1982–2023

Scientific Data
Due to the lack of direct assessment metrics, existing studies on the intensity of agricultural policies often utilize indicators such as Gross Domestic Product (GDP) of agriculture or the quantity of agricultural policies as measures. Optimizing methods
Yehui Wu, Canyu Wang, Rongbiao Ji, Yadong Li, Junkui Yang, Yixuan Wang, Rujia Li, Mengyao Wu, Jiaojiao Chen, Jianping Yang   +9 more
doaj   +1 more source

Kernel difference maximisation-based sparse representation for more accurate face recognition

The Journal of Engineering, 2020
Most methods for sparse representation are designed to be used in the original space. However, their performance is not always satisfactory especially when training samples are limited.
Lian Wu, Wenbo Xu, Jianchuan Zhao, Zhongwei Cui, Yong Zhao   +4 more
doaj   +1 more source

Competing with Big Data [PDF]

SSRN Electronic Journal, 2017
We study competition in data‐driven markets, where the cost of quality production decreases in the amount of machine‐generated data about user preferences or characteristics. This gives rise to data‐driven indirect network effects. We construct a dynamic model of R&D competition, where duopolists repeatedly determine innovation investments.
Prüfer, Jens, Schottmüller, Christoph
openaire   +6 more sources

Brief introduction of medical database and data mining technology in big data era

Journal of Evidence-Based Medicine, 2020
Data mining technology can search for potentially valuable knowledge from a large amount of data, mainly divided into data preparation and data mining, and expression and analysis of results.
Jin Yang, Yuan-jie Li, Qingqing Liu, Li Li, Aozi Feng, Tianyi Wang, Shuai Zheng, Anding Xu, Jun Lyu   +8 more
semanticscholar   +1 more source

occumb: An R package for site occupancy modeling of eDNA metabarcoding data

Population Ecology, EarlyView.
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley   +1 more source

Analysis of Dimensionality Reduction Techniques on Big Data

IEEE Access, 2020
Due to digitization, a huge volume of data is being generated across several sectors such as healthcare, production, sales, IoT devices, Web, organizations. Machine learning algorithms are used to uncover patterns among the attributes of this data. Hence,
G. T. Reddy, M. P. K. Reddy, Kuruva Lakshmanna, Rajesh Kaluri, D. Rajput, Gautam Srivastava, Ieee Thar Baker Senior Member, Gautam Srivastava   +7 more
semanticscholar   +1 more source