About: Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Data-intensive applications, challenges, techniques and technologies: A survey on Big Data Goto Sponge NotDistinct Permalink

An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

article by C.L. Philip Chen & Chun-Yang Zhang published August 2014 in Information Sciences

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в серпні 2014 (uk) article by C.L. Philip Chen & Chun-Yang Zhang published August 2014 in Information Sciences (en)
publication date	wds:Q57604312-A40616C8-FE80-4F53-AC50-78619E983CD4
publication date	2014-08-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q57604312-719EF5DE-7404-47B1-80F9-0B82E121EAD2 wds:Q57604312-C7D1EE01-2765-4B6D-B5CB-3C411F779D31
author name string	Chun-Yang Zhang C.L. Philip Chen
rdfs:label	Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (en) Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (nl)
skos:prefLabel	Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (en) Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (nl)
name	Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (en) Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (nl)
title	wds:Q57604312-D21CC7DD-BEA3-4013-B9FA-5A654DB2B84B
title	Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (en)
page(s)	wds:Q57604312-154E9906-D22C-4FB9-B301-9EBC7BC91022
page(s)	314-347
instance of	wds:Q57604312-EF240053-FD63-49D2-89D7-9F7692F36247
instance of	scholarly article
main subject	wds:Q57604312-5278B76F-3653-4211-ADFB-EA0D8183F3EE wds:Q57604312-DCBEFAA3-F6E4-44CB-9F87-C6CEE50D5486
main subject	theoretical computer science big data
DBLP publication ID	wds:Q57604312-15FBA070-5976-4640-8D1D-CD3705C4B136
DBLP publication ID	https://dblp.org/rec/journals/isci/ChenZ14a
DBLP publication ID	journals/isci/ChenZ14a
published in	wds:Q57604312-5A768D4C-FD04-45EE-B0B9-119CBAABBCCE
published in	Information Sciences
volume	wds:Q57604312-16C2F087-42AF-4CC2-B83D-952C72AAA780
volume	275
DOI	wds:Q57604312-B1D57F89-F737-42A9-9567-62DA90A1A4B6
DOI	http://dx.doi.org/10.1016/J.INS.2014.01.015
DOI	10.1016/J.INS.2014.01.015
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57604312
is cites work of	Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data Sex and STEM Occupation Predict Autism-Spectrum Quotient (AQ) Scores in Half a Million People In silico ADME/T modelling for rational drug design. IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research Cements in the 21st Century: Challenges, Perspectives, and Opportunities Systematic Methodology for Excavating Sleeping Beauty Publications and Their Princes from Medical and Biological Engineering Studies Realisation of all 16 Boolean logic functions in a single magnetoresistance memory cell. [Progress and challenges in the analysis of big data in social media of adolescents] A Systematic Review of Security Mechanisms for Big Data in Health and New Alternatives for Hospitals Big data in IBD: a look into the future A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector. Flexible and durable wood-based triboelectric nanogenerators for self-powered sensing in athletic big data analytics FUn: A Framework for Interactive Visualizations of Large, High Dimensional Datasets on the Web. NeuroManager: a workflow analysis based simulation management engine for computational neuroscience Evolving Mashup Interfaces Using a Distributed Machine Learning and Model Transformation Methodology In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy. A survey on indexing techniques for big data: taxonomy and performance evaluation Evaluating SQL-on-Hadoop for Big Data Warehousing on Not-So-Good Hardware Identifying multiscale spatio-temporal patterns in human mobility using manifold learning An Efficient Method of Sharing Mass Spatio-Temporal Trajectory Data Based on Cloudera Impala for Traffic Distribution Mapping in an Urban City The SusCity Big Data Warehousing Approach for Smart Cities Big data analytics in logistics and supply chain management Prediction and Analysis of Hotel Ratings from Crowd-Sourced Data Structure and patterns of cross-national Big Data research collaborations Towards Process Patterns for Processing Data Having Various Qualities Prediction of the Vaccine-derived Poliovirus Outbreak Incidence: A Hybrid Machine Learning Approach An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species Developing integrative systematics in the informatics and genomic era, and calling for a global Biodiversity Cyberbank Real-Time Grain Commodities Price Predictions in South Africa: A Big Data and Neural Networks Approach Analyzing big data with the hybrid interval regression methods. IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis I8K\|DQ-BigData: I8K Architecture Extension for Data Quality in Big Data Granular computing with multiple granular layers for brain big data processing. Efficient large-scale distance-based join queries in spatialhadoop An efficient MapReduce scheduling scheme for processing large multimedia data Optimal Map Reduce Job Capacity Allocation in Cloud Systems Dynamic resource allocation for big data streams based on data characteristics (5Vs) A Grey Theory Based Approach to Big Data Risk Management Using FMEA
is cites work of	wds:Q56914670-95F5B69B-79D0-4CBE-8121-BFB822DDADAC wds:Q58099635-4990BADD-E122-4F4F-AFE2-9AB0AA476316 wds:Q58826661-C1199A54-EB73-46AC-83CE-D8890B6329E8 wds:Q26766083-51716AF7-D5B2-46A5-930E-3AFE74DA0884 wds:Q26748818-A2E2E6D7-026E-4A71-B85E-BA36ACE1A879 wds:Q47443804-729799F4-86D3-4C5A-8AF0-80091AA7884D wds:Q55037491-AD8160C3-F09A-451C-A712-CCDEC0383ECC wds:Q57830278-4BAAB85B-C3F4-4FC1-955A-C91A7B2FD1F1 wds:Q57999412-06BB9753-16D6-4954-B686-97F8A94F5C22 wds:Q57999421-E5C1D5A3-0374-4617-9C5D-A79EF631C6BA wds:Q57604984-3c042332-4e46-76cc-3cf9-866e2c201f9f wds:Q58076073-C3D889E9-F281-4381-A2A9-CA295BF6E863 wds:Q57583130-1BBD51CF-1A9B-4F18-BE85-F9CF6D366D0E wds:Q58632180-198CBC34-9E5D-4562-89FF-CB6C81DA1D14 wds:Q62037650-9E247587-E8A9-4B62-A936-29DF246F29B9 wds:Q91473581-975BE039-178F-4B54-A4F9-5A1BAF82BAB3 wds:Q31028077-072D81A0-A6C7-4CF7-B800-3BB58782D5B3 wds:Q43496731-5CC45229-F308-484A-9CE4-8CFC028CB8EF wds:Q111629491-55906B09-6E74-49A4-A67D-B78C92F8CE05 wds:Q28608507-E2FC2B53-CC51-4682-8A74-0B72676B3CF5 wds:Q36179114-84E296A7-D8A3-41E5-9E62-F4AD1C030569 wds:Q51585877-B06524BD-4AAF-42B0-A182-96C9022A1DBD wds:Q57378498-7690B944-316C-4BC9-89A1-8CDBAB2B36E0 wds:Q38578341-7DF7006F-9C5E-44A2-B9D2-354D896C68CD wds:Q58075799-5EB4E505-DEEB-4B45-A002-0E3FA2275972

Faceted Search & Find service v1.16.117 as of May 05 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3239 as of May 5 2024, on Linux (x86_64-centos_6-linux-gnu), Single-Server Edition (378 GB total memory, 190 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software