Comparison of Estimating Missing Values in IoT Time Series Data Using Different Interpolation Algorithms

When collecting the Internet of Things data using various sensors or other devices, it may be possible to miss several kinds of values of interest. In this paper, we focus on estimating the missing values in IoT time series data using three interpolation algorithms, including (1) Radial Basis Functi...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of parallel programming Vol. 48; no. 3; pp. 534 - 548
Main Authors:	Ding, Zengyu, Mei, Gang, Cuomo, Salvatore, Li, Yixuan, Xu, Nengxiong
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2020 Springer Nature B.V
Subjects:	Algorithms Basis functions Computer Science Estimation Gene loci Internet of Things Interpolation Processor Architectures Questionnaires Radial basis function Software Engineering/Programming and Operating Systems Special Issue on Emerging Technology for Software Defined Network Enabled Internet of Things Theory of Computation Time series Interpolation Internet of Things (IoT) Data imputation Missing values Time series
ISSN:	0885-7458, 1573-7640
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	When collecting the Internet of Things data using various sensors or other devices, it may be possible to miss several kinds of values of interest. In this paper, we focus on estimating the missing values in IoT time series data using three interpolation algorithms, including (1) Radial Basis Functions, (2) Moving Least Squares (MLS), and (3) Adaptive Inverse Distance Weighted. To evaluate the performance of estimating missing values, we estimate the missing values in eight selected sets of IoT time series data, and compare with those imputed by the standard k NN estimator. Our experiments indicate that in most experiments the estimation based on the Lancaster’s MLS is the best. It is also found that the number of nearest observed values for reference and the distribution of missing values could strongly affect the accuracy of imputation.
AbstractList	When collecting the Internet of Things data using various sensors or other devices, it may be possible to miss several kinds of values of interest. In this paper, we focus on estimating the missing values in IoT time series data using three interpolation algorithms, including (1) Radial Basis Functions, (2) Moving Least Squares (MLS), and (3) Adaptive Inverse Distance Weighted. To evaluate the performance of estimating missing values, we estimate the missing values in eight selected sets of IoT time series data, and compare with those imputed by the standard k NN estimator. Our experiments indicate that in most experiments the estimation based on the Lancaster’s MLS is the best. It is also found that the number of nearest observed values for reference and the distribution of missing values could strongly affect the accuracy of imputation. When collecting the Internet of Things data using various sensors or other devices, it may be possible to miss several kinds of values of interest. In this paper, we focus on estimating the missing values in IoT time series data using three interpolation algorithms, including (1) Radial Basis Functions, (2) Moving Least Squares (MLS), and (3) Adaptive Inverse Distance Weighted. To evaluate the performance of estimating missing values, we estimate the missing values in eight selected sets of IoT time series data, and compare with those imputed by the standard kNN estimator. Our experiments indicate that in most experiments the estimation based on the Lancaster’s MLS is the best. It is also found that the number of nearest observed values for reference and the distribution of missing values could strongly affect the accuracy of imputation.
Author	Li, Yixuan Xu, Nengxiong Ding, Zengyu Mei, Gang Cuomo, Salvatore
Author_xml	– sequence: 1 givenname: Zengyu surname: Ding fullname: Ding, Zengyu organization: China University of Geosciences (Beijing) – sequence: 2 givenname: Gang orcidid: 0000-0003-0026-5423 surname: Mei fullname: Mei, Gang email: gang.mei@cugb.edu.cn organization: China University of Geosciences (Beijing) – sequence: 3 givenname: Salvatore surname: Cuomo fullname: Cuomo, Salvatore organization: Department of Mathematics and Applications “R. Caccioppoli”, University of Naples Federico II – sequence: 4 givenname: Yixuan surname: Li fullname: Li, Yixuan organization: China University of Geosciences (Beijing) – sequence: 5 givenname: Nengxiong surname: Xu fullname: Xu, Nengxiong organization: China University of Geosciences (Beijing)
BookMark	eNp9kE9LAzEQxYNUsK1-AG8Bz6uT_ZfssbRVCxUPtl5Ddpu0KdtkTdKD3960KwiCzmVgeL83jzdCA2ONROiWwD0BoA-eAC3LBAhLoKiKpLhAQ1LQLKFlDgM0BMaKhOYFu0Ij7_cAUFHGhmg3tYdOOO2twVbhuQ_6III2W_yivT_td9Eepcfa4IVd4ZU-SPwmnY6nmQgCr8-imVZKOmkCXpggXWfbaBItJ-3WOh12B3-NLpVovbz53mO0fpyvps_J8vVpMZ0skyYjZUhEWqtaqLyu0rJWaUOyuiHQSCUyIplIN3mcJpe5rEq5aVha5zXdUAaSVULULBuju963c_YjBg98b4_OxJc8hQoKoEBoVNFe1TjrvZOKNzqcIwcndMsJ8FOtvK-Vx1r5qVZeRJL8IjsXK3Of_zJpz_ioNVvpfjL9DX0B-lyN8w
CitedBy_id	crossref_primary_10_1007_s12517_021_06961_3 crossref_primary_10_1016_j_scitotenv_2022_154668 crossref_primary_10_1109_JIOT_2023_3246100 crossref_primary_10_3390_math13142274 crossref_primary_10_1016_j_engappai_2025_112150 crossref_primary_10_1007_s00500_020_05211_0 crossref_primary_10_3390_s20092625 crossref_primary_10_1145_3533381 crossref_primary_10_3390_math12172686 crossref_primary_10_1007_s13349_022_00570_8 crossref_primary_10_1016_j_simpat_2025_103178 crossref_primary_10_2478_ijssis_2024_0004 crossref_primary_10_1016_j_jclepro_2022_132179 crossref_primary_10_1088_1742_6596_2890_1_012047 crossref_primary_10_1038_s41598_025_98374_5 crossref_primary_10_14778_3748191_3748204 crossref_primary_10_1108_IMDS_08_2022_0468 crossref_primary_10_1109_JIOT_2019_2955435 crossref_primary_10_3390_electronics11172676 crossref_primary_10_3390_su13073797 crossref_primary_10_1016_j_procs_2022_09_284 crossref_primary_10_3390_en15041570 crossref_primary_10_1007_s00521_021_05790_5 crossref_primary_10_1109_ACCESS_2020_2971059 crossref_primary_10_1007_s42486_022_00112_7
Cites_doi	10.1016/j.biosystemseng.2017.09.007 10.1016/j.comcom.2014.09.008 10.1016/j.scs.2018.01.053 10.1098/rsos.170436 10.1016/j.future.2016.10.026 10.1016/j.compag.2017.09.033 10.1002/sam.11348 10.1109/TGRS.2013.2284489 10.1016/j.apnum.2016.10.016 10.1016/j.future.2017.08.054 10.1016/j.comnet.2016.11.007 10.1080/08839514.2018.1448143 10.1016/j.aei.2016.11.007 10.1016/j.jnca.2016.08.002 10.1016/j.jclepro.2016.10.006 10.1080/03610929208830990 10.1016/j.comnet.2018.03.012 10.1016/j.pmcj.2017.06.018 10.1080/02827589709355401 10.1016/j.knosys.2018.03.026 10.1007/s10766-017-0538-6 10.1155/2014/171574 10.1016/j.neucom.2015.03.108 10.1016/j.jnca.2017.08.017 10.1093/bioinformatics/btr597 10.1016/j.cageo.2007.07.010 10.1145/800186.810616 10.1016/j.jksuci.2016.10.003
ContentType	Journal Article
Copyright	Springer Science+Business Media, LLC, part of Springer Nature 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018.
Copyright_xml	– notice: Springer Science+Business Media, LLC, part of Springer Nature 2018 – notice: Springer Science+Business Media, LLC, part of Springer Nature 2018.
DBID	AAYXX CITATION 3V. 7SC 7WY 7WZ 7XB 87Z 8AL 8FD 8FE 8FG 8FK 8FL 8G5 ABUWG AFKRA ARAPS AZQEC BENPR BEZIV BGLVJ CCPQU DWQXO FRNLG F~G GNUQQ GUQSH HCIFZ JQ2 K60 K6~ K7- L.- L7M L~C L~D M0C M0N M2O MBDVC P5Z P62 PHGZM PHGZT PKEHL PQBIZ PQBZA PQEST PQGLB PQQKQ PQUKI Q9U
DOI	10.1007/s10766-018-0595-5
DatabaseName	CrossRef ProQuest Central (Corporate) Computer and Information Systems Abstracts ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ABI/INFORM Collection Computing Database (Alumni Edition) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ABI/INFORM Collection (Alumni Edition) Research Library (Alumni Edition) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central (subscription) Business Premium Collection Technology collection ProQuest One Community College ProQuest Central Business Premium Collection (Alumni) ABI/INFORM Global (Corporate) ProQuest Central Student Research Library Prep SciTech Premium Collection ProQuest Computer Science Collection ProQuest Business Collection (Alumni Edition) ProQuest Business Collection Computer Science Database ABI/INFORM Professional Advanced Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ABI/INFORM Global (OCUL) Computing Database Research Library Research Library (Corporate) Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Business ProQuest One Business (Alumni) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central Basic
DatabaseTitle	CrossRef ABI/INFORM Global (Corporate) ProQuest Business Collection (Alumni Edition) ProQuest One Business Research Library Prep Computer Science Database ProQuest Central Student Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Research Library (Alumni Edition) ABI/INFORM Complete ProQuest Central ABI/INFORM Professional Advanced ProQuest One Applied & Life Sciences ProQuest Central Korea ProQuest Research Library ProQuest Central (New) Advanced Technologies Database with Aerospace ABI/INFORM Complete (Alumni Edition) Advanced Technologies & Aerospace Collection Business Premium Collection ABI/INFORM Global ProQuest Computing ABI/INFORM Global (Alumni Edition) ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection ProQuest Business Collection Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition ProQuest One Business (Alumni) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) Business Premium Collection (Alumni)
DatabaseTitleList	ABI/INFORM Global (Corporate)
Database_xml	– sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Computer Science
EISSN	1573-7640
EndPage	548
ExternalDocumentID	10_1007_s10766_018_0595_5
GrantInformation_xml	– fundername: National Natural Science Foundation of China grantid: 11602235; 41772326 funderid: http://dx.doi.org/10.13039/501100001809 – fundername: the College Students Innovation and Entrepreneurship Training Program grantid: 201811415014 – fundername: the Fundamental Research Funds for the Central Universities grantid: 2652017086
GroupedDBID	-4Z -59 -5G -BR -EM -Y2 -~C -~X .4S .86 .DC .VR 06D 0R~ 0VY 199 1N0 2.D 203 28- 29J 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 3V. 4.4 406 408 409 40D 40E 5GY 5QI 5VS 67Z 6NX 78A 7WY 8FE 8FG 8FL 8G5 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AAOBN AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYJJ AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDBF ABDPE ABDZT ABECU ABFSI ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTAH ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFO ACGFS ACHSB ACHXU ACIHN ACKNC ACMDZ ACMLO ACNCT ACOKC ACOMO ACPIV ACREN ACUHS ACZOJ ADHIR ADINQ ADKNI ADKPE ADMLS ADRFC ADTPH ADURQ ADYFF ADYOE ADZKW AEAQA AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFEXP AFGCZ AFKRA AFLOW AFQWF AFWTZ AFYQB AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMTXH AMXSW AMYLF AOCGG ARAPS ARCSS ARMRJ AXYYD AYJHY AZFZN AZQEC B-. B0M BA0 BBWZM BDATZ BENPR BEZIV BGLVJ BGNMA BKOMP BPHCQ BSONS CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 DWQXO E.L EAD EAP EAS EBLON EBS EDO EIOEI EJD EMK EPL ESBYG ESX FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 GQ8 GROUPED_ABI_INFORM_COMPLETE GROUPED_ABI_INFORM_RESEARCH GUQSH GXS H13 HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ H~9 I-F I09 IHE IJ- IKXTQ ITM IWAJR IXC IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K60 K6V K6~ K7- KDC KOV KOW LAK LLZTM M0C M0N M2O M4Y MA- MS~ N2Q NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM OVD P19 P62 P9O PF0 PQBIZ PQBZA PQQKQ PROAC PT4 PT5 Q2X QOK QOS R89 R9I RHV RNI RNS ROL RPX RSV RZC RZE RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SCO SDH SDM SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TAE TEORI TN5 TSG TSK TSV TUC TUS U2A U5U UG4 UOJIU UTJUX UZXMN VC2 VFIZW VXZ W23 W48 WH7 WK8 YLTOR Z45 Z7R Z7X Z81 Z83 Z88 Z8R Z8W Z92 ZMTXR ZY4 ~8M ~EX AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG AEZWR AFDZB AFFHD AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION PHGZM PHGZT PQGLB 7SC 7XB 8AL 8FD 8FK JQ2 L.- L7M L~C L~D MBDVC PKEHL PQEST PQUKI Q9U
ID	FETCH-LOGICAL-c316t-a2bfbaf4b926bf2c13bc10cefa31e8a2d4444c4e4e96edc82b4b7d780e89aab83
IEDL.DBID	K7-
ISICitedReferencesCount	51
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000528215000008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0885-7458
IngestDate	Tue Nov 04 23:05:02 EST 2025 Sat Nov 29 01:59:45 EST 2025 Tue Nov 18 21:49:30 EST 2025 Fri Feb 21 02:37:21 EST 2025
IsPeerReviewed	true
IsScholarly	true
Issue	3
Keywords	Interpolation Internet of Things (IoT) Data imputation Missing values Time series
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c316t-a2bfbaf4b926bf2c13bc10cefa31e8a2d4444c4e4e96edc82b4b7d780e89aab83
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0003-0026-5423
PQID	2090507017
PQPubID	48389
PageCount	15
ParticipantIDs	proquest_journals_2090507017 crossref_citationtrail_10_1007_s10766_018_0595_5 crossref_primary_10_1007_s10766_018_0595_5 springer_journals_10_1007_s10766_018_0595_5
PublicationCentury	2000
PublicationDate	20200600 2020-6-00 20200601
PublicationDateYYYYMMDD	2020-06-01
PublicationDate_xml	– month: 6 year: 2020 text: 20200600
PublicationDecade	2020
PublicationPlace	New York
PublicationPlace_xml	– name: New York
PublicationTitle	International journal of parallel programming
PublicationTitleAbbrev	Int J Parallel Prog
PublicationYear	2020
Publisher	Springer US Springer Nature B.V
Publisher_xml	– name: Springer US – name: Springer Nature B.V
References	Poulos, Valle (CR16) 2018; 32 Shtiliyanova, Bellocchi, Borras, Eza, Martin, Carrere (CR20) 2017; 142 Haara, Maltamo, Tokola (CR8) 1997; 12 CR19 Borgia (CR5) 2014; 54 CR18 Lu, Wong (CR12) 2008; 34 Beveridge (CR3) 1992; 21 Qi, Yang, Min, Amft, Dong, Xu (CR17) 2017; 41 Trappey, Trappey, Govindarajan, Chuang, Sun (CR26) 2017; 33 Kouicem, Bouabdallah, Lakhlef (CR11) 2018 Tsai, Li, Lin (CR27) 2018; 151 Ding, Mei, Cuomo, Xu, Tian (CR7) 2017 Mei (CR13) 2014 Mei, Xu, Xu (CR14) 2017 Karkouch, Mousannif, Moatassime, Noel (CR10) 2016; 73 Cuomo, Galletti, Giunta, Marcellino (CR6) 2017; 116 Hui, Sherratt, Snchez (CR9) 2017; 76 Tang, Ishwaran (CR25) 2017; 10 Silva, Khan, Han (CR21) 2018; 38 Ouaddah, Mousannif, Elkalam, Ouahman (CR15) 2017; 112 Stekhoven, Buehlmann (CR23) 2012; 28 Alaa, Zaidan, Zaidan, Talal, Kiah (CR2) 2017; 97 Sovilj, Eirola, Miche, Bjrk, Nian, Akusok, Lendasse (CR22) 2016; 174 Stojkoska, Trivodaliev (CR24) 2017; 140 Ahmed, Rani (CR1) 2018; 79 Tzounis, Katsoulas, Bartzanas, Kittas (CR28) 2017; 164 Bhattacharjee, Mitra, Ghosh (CR4) 2014; 52 BN Silva (595_CR21) 2018; 38 DJ Stekhoven (595_CR23) 2012; 28 J Qi (595_CR17) 2017; 41 SH Ahmed (595_CR1) 2018; 79 AJC Trappey (595_CR26) 2017; 33 A Shtiliyanova (595_CR20) 2017; 142 E Borgia (595_CR5) 2014; 54 BLR Stojkoska (595_CR24) 2017; 140 A Karkouch (595_CR10) 2016; 73 G Mei (595_CR13) 2014 S Cuomo (595_CR6) 2017; 116 GY Lu (595_CR12) 2008; 34 A Ouaddah (595_CR15) 2017; 112 J Poulos (595_CR16) 2018; 32 M Alaa (595_CR2) 2017; 97 S Bhattacharjee (595_CR4) 2014; 52 CF Tsai (595_CR27) 2018; 151 A Tzounis (595_CR28) 2017; 164 595_CR18 595_CR19 A Haara (595_CR8) 1997; 12 F Tang (595_CR25) 2017; 10 G Mei (595_CR14) 2017 D Sovilj (595_CR22) 2016; 174 DE Kouicem (595_CR11) 2018 TK Hui (595_CR9) 2017; 76 S Beveridge (595_CR3) 1992; 21 Z Ding (595_CR7) 2017
References_xml	– volume: 164 start-page: 31 year: 2017 end-page: 48 ident: CR28 article-title: Internet of things in agriculture, recent advances and future challenges publication-title: Biosyst. Eng. doi: 10.1016/j.biosystemseng.2017.09.007 – ident: CR18 – volume: 54 start-page: 1 year: 2014 end-page: 31 ident: CR5 article-title: The internet of things vision: Key features, applications and open issues publication-title: Comput. Commun. doi: 10.1016/j.comcom.2014.09.008 – volume: 38 start-page: 697 year: 2018 end-page: 713 ident: CR21 article-title: Towards sustainable smart cities: a review of trends, architectures, components, and open challenges in smart cities publication-title: Sustain. Cities Soc. doi: 10.1016/j.scs.2018.01.053 – year: 2017 ident: CR14 article-title: Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit publication-title: R. Soc. Open Sci. doi: 10.1098/rsos.170436 – volume: 76 start-page: 358 year: 2017 end-page: 369 ident: CR9 article-title: Major requirements for building smart homes in smart cities based on internet of things technologies publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2016.10.026 – volume: 142 start-page: 440 issue: A year: 2017 end-page: 449 ident: CR20 article-title: Kriging-based approach to predict missing air temperature data publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2017.09.033 – volume: 10 start-page: 363 issue: 6 year: 2017 end-page: 377 ident: CR25 article-title: Random forest missing data algorithms publication-title: Stat. Anal. Data Min. doi: 10.1002/sam.11348 – volume: 52 start-page: 4771 issue: 8 year: 2014 end-page: 4780 ident: CR4 article-title: Spatial interpolation to predict missing attributes in GIS using Semantic Kriging publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2013.2284489 – volume: 116 start-page: 157 issue: SI year: 2017 end-page: 171 ident: CR6 article-title: Reconstruction of implicit curves and surfaces via RBF interpolation publication-title: Appl. Numer. Math. doi: 10.1016/j.apnum.2016.10.016 – volume: 79 start-page: 941 year: 2018 end-page: 951 ident: CR1 article-title: A hybrid approach, smart street use case and future aspects for internet of things in smart cities publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2017.08.054 – volume: 112 start-page: 237 year: 2017 end-page: 262 ident: CR15 article-title: Access control in the internet of things: big challenges and new opportunities publication-title: Comput. Netw. doi: 10.1016/j.comnet.2016.11.007 – volume: 32 start-page: 186 issue: 2 year: 2018 end-page: 196 ident: CR16 article-title: Missing data imputation for supervised learning publication-title: Appl. Artifi. Intell. doi: 10.1080/08839514.2018.1448143 – volume: 33 start-page: 208 year: 2017 end-page: 229 ident: CR26 article-title: A review of essential standards and patent landscapes for the Internet of Things: a key enabler for Industry 4.0 publication-title: Adv. Eng. Inf. doi: 10.1016/j.aei.2016.11.007 – volume: 73 start-page: 57 year: 2016 end-page: 81 ident: CR10 article-title: Data quality in internet of things: a state-of-the-art survey publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2016.08.002 – volume: 140 start-page: 1454 year: 2017 end-page: 1464 ident: CR24 article-title: A review of internet of things for smart home: Challenges and solutions publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2016.10.006 – volume: 21 start-page: 3479 issue: 12 year: 1992 end-page: 3496 ident: CR3 article-title: Least squates estimation of missing values in time series publication-title: Commun. Stat.–Theory Methods doi: 10.1080/03610929208830990 – ident: CR19 – year: 2018 ident: CR11 article-title: Internet of things security: a top-down survey publication-title: Comput. Netw. doi: 10.1016/j.comnet.2018.03.012 – volume: 41 start-page: 132 year: 2017 end-page: 149 ident: CR17 article-title: Advanced internet of things for personalised healthcare systems: a survey publication-title: Pervasive Mobile Comput. doi: 10.1016/j.pmcj.2017.06.018 – volume: 12 start-page: 200 issue: 2 year: 1997 end-page: 208 ident: CR8 article-title: The k-nearest-neighbour method for estimating basal-area diameter distribution publication-title: Scand. J. Forest Res. doi: 10.1080/02827589709355401 – volume: 151 start-page: 124 year: 2018 end-page: 135 ident: CR27 article-title: A class center based approach for missing value imputation publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2018.03.026 – year: 2017 ident: CR7 article-title: Performance evaluation of gpu-accelerated spatial interpolation using radial basis functions for building explicit surfaces publication-title: Int. J. Parallel Program. doi: 10.1007/s10766-017-0538-6 – year: 2014 ident: CR13 article-title: Evaluating the power of GPU acceleration for IDW interpolation algorithm publication-title: Sci. World J. doi: 10.1155/2014/171574 – volume: 174 start-page: 220 year: 2016 end-page: 231 ident: CR22 article-title: Extreme learning machine for missing data using multiple imputations publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.03.108 – volume: 97 start-page: 48 year: 2017 end-page: 65 ident: CR2 article-title: A review of smart home applications based on Internet of Things publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2017.08.017 – volume: 28 start-page: 112 issue: 1 year: 2012 end-page: 118 ident: CR23 article-title: MissForest-non-parametric missing value imputation for mixed-type data publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr597 – volume: 34 start-page: 1044 issue: 9 year: 2008 end-page: 1055 ident: CR12 article-title: An adaptive inverse-distance weighting spatial interpolation technique publication-title: Comput. Geosci. doi: 10.1016/j.cageo.2007.07.010 – year: 2017 ident: 595_CR7 publication-title: Int. J. Parallel Program. doi: 10.1007/s10766-017-0538-6 – volume: 54 start-page: 1 year: 2014 ident: 595_CR5 publication-title: Comput. Commun. doi: 10.1016/j.comcom.2014.09.008 – volume: 140 start-page: 1454 year: 2017 ident: 595_CR24 publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2016.10.006 – ident: 595_CR19 doi: 10.1145/800186.810616 – volume: 52 start-page: 4771 issue: 8 year: 2014 ident: 595_CR4 publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2013.2284489 – volume: 10 start-page: 363 issue: 6 year: 2017 ident: 595_CR25 publication-title: Stat. Anal. Data Min. doi: 10.1002/sam.11348 – volume: 97 start-page: 48 year: 2017 ident: 595_CR2 publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2017.08.017 – volume: 33 start-page: 208 year: 2017 ident: 595_CR26 publication-title: Adv. Eng. Inf. doi: 10.1016/j.aei.2016.11.007 – volume: 32 start-page: 186 issue: 2 year: 2018 ident: 595_CR16 publication-title: Appl. Artifi. Intell. doi: 10.1080/08839514.2018.1448143 – year: 2018 ident: 595_CR11 publication-title: Comput. Netw. doi: 10.1016/j.comnet.2018.03.012 – volume: 38 start-page: 697 year: 2018 ident: 595_CR21 publication-title: Sustain. Cities Soc. doi: 10.1016/j.scs.2018.01.053 – volume: 28 start-page: 112 issue: 1 year: 2012 ident: 595_CR23 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr597 – volume: 151 start-page: 124 year: 2018 ident: 595_CR27 publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2018.03.026 – volume: 79 start-page: 941 year: 2018 ident: 595_CR1 publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2017.08.054 – volume: 21 start-page: 3479 issue: 12 year: 1992 ident: 595_CR3 publication-title: Commun. Stat.–Theory Methods doi: 10.1080/03610929208830990 – volume: 41 start-page: 132 year: 2017 ident: 595_CR17 publication-title: Pervasive Mobile Comput. doi: 10.1016/j.pmcj.2017.06.018 – volume: 116 start-page: 157 issue: SI year: 2017 ident: 595_CR6 publication-title: Appl. Numer. Math. doi: 10.1016/j.apnum.2016.10.016 – volume: 34 start-page: 1044 issue: 9 year: 2008 ident: 595_CR12 publication-title: Comput. Geosci. doi: 10.1016/j.cageo.2007.07.010 – volume: 12 start-page: 200 issue: 2 year: 1997 ident: 595_CR8 publication-title: Scand. J. Forest Res. doi: 10.1080/02827589709355401 – volume: 164 start-page: 31 year: 2017 ident: 595_CR28 publication-title: Biosyst. Eng. doi: 10.1016/j.biosystemseng.2017.09.007 – volume: 73 start-page: 57 year: 2016 ident: 595_CR10 publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2016.08.002 – volume: 76 start-page: 358 year: 2017 ident: 595_CR9 publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2016.10.026 – volume: 174 start-page: 220 year: 2016 ident: 595_CR22 publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.03.108 – year: 2014 ident: 595_CR13 publication-title: Sci. World J. doi: 10.1155/2014/171574 – year: 2017 ident: 595_CR14 publication-title: R. Soc. Open Sci. doi: 10.1098/rsos.170436 – ident: 595_CR18 doi: 10.1016/j.jksuci.2016.10.003 – volume: 142 start-page: 440 issue: A year: 2017 ident: 595_CR20 publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2017.09.033 – volume: 112 start-page: 237 year: 2017 ident: 595_CR15 publication-title: Comput. Netw. doi: 10.1016/j.comnet.2016.11.007
SSID	ssj0009788
Score	2.4091256
Snippet	When collecting the Internet of Things data using various sensors or other devices, it may be possible to miss several kinds of values of interest. In this...
SourceID	proquest crossref springer
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	534
SubjectTerms	Algorithms Basis functions Computer Science Estimation Gene loci Internet of Things Interpolation Processor Architectures Questionnaires Radial basis function Software Engineering/Programming and Operating Systems Special Issue on Emerging Technology for Software Defined Network Enabled Internet of Things Theory of Computation Time series
SummonAdditionalLinks	– databaseName: SpringerLINK Contemporary 1997-Present dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NT8MgFCc6PXhxfsbpNBw8aZowSgs9LvuIHlyMzmW3BihsS2Zr1urfL_RjVaMm2kuTQgl58Hg_eI_3A-CSSKmF1NohEaUOMQjbrIM24aXPkZBYGkivc7IJOhqx6TS4L-9xp1W0e-WSzFfqD5fdqG93v8wxkMBzvE2wZawds9r48DipM-3SnGzSaI_nUOKxypX5XROfjVGNML84RXNbM2z-q5d7YLeElrBbzIV9sKHiA9CsaBtgqcWHYN5bcw_CRMOBUXILW-MZvDOjYN8TvjQ9hIsY3iZjaG-JQHuKZj71ecZhHmYA-yW1SgaLwMWkiKqD3eUsWS2y-XN6BJ6Gg3HvxikJFxzpdvzM4VhowTURAfaFxrLjCtlBUmnudhTjOCLmkUQRFfgqkgwLImhEGVIs4Fww9xg04iRWJwBGiFvkESEkXcIkEtyTyoAdhYVnLCBuAVRJPpRlNnJLirEM6zzKVpKhkWRoJRl6LXC1_uWlSMXxW-V2NZxhqZVpiFGADP41i1ALXFfDVxf_2Njpn2qfgR1sN-X5UU0bNLLVqzoH2_ItW6Sri3yyvgMdxeS2 priority: 102 providerName: Springer Nature
Title	Comparison of Estimating Missing Values in IoT Time Series Data Using Different Interpolation Algorithms
URI	https://link.springer.com/article/10.1007/s10766-018-0595-5 https://www.proquest.com/docview/2090507017
Volume	48
WOSCitedRecordID	wos000528215000008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1573-7640 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009788 issn: 0885-7458 databaseCode: RSV dateStart: 19970101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB7RlgMXylPdUlY-cAJZchwndk6obLcCoS6rUkrhEtmO3VZakrYb-P2ME6cRSPRCDhMpDyfSzNifx-P5AF4Ja72x3lNRSUkFImzsB0PBy1wzY7lFSO87sgm5WKizs2IZA27rmFY59IldR101NsTIcZJeMMQuaEBvr65pYI0Kq6uRQmMDthLOk2DnHyUdi-7KjncSHSmjUmRqWNXst87JPMylFUWAkdHsz3FpBJt_rY92w87h9v_-8CN4GAEn2e8t5DHcc_UT2B7IHEj07adwMbtlJCSNJ3N0_QBm63NyhLoJ51O9ws-Ty5p8aE5I2DtCQmwNLx3oVpMu-YAcRMKVlvTpjE2fa0f2V-f4c-3Fj_Uz-HI4P5m9p5GGgdo0yVuqufFGe2EKnhvPbZIamzDrvE4TpzSvBB5WOOGK3FVWcSOMrKRiThVaG5U-h826qd0OkIrpgEcqxmwqlGVGZ9YhBHLcZDgu8gmwQQmljTXKA1XGqhyrKwe9lai3MuitzCbw-vaVq75Ax10P7w26KqOvrstRURN4M2h7vP3PxnbvbuwFPOBhbt5FbPZgs7356V7CffurvVzfTGFDfv02ha1388XyeNqZLcojNguSf0K5zL6jPP58-huQEPVT
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VggQXylMstOADXECWvI6TOAdUVbutumq74rCg3oI9sdtKS1K6AcSf4jd2nEejItFbD-QSKQ9Ltj-PP4_H8wG8VYjeovdcFWnKFTFssoMh4WVihEWJROl9IzaRzuf6-Dj7tAZ_-rMwIayyt4mNoS4qDD5yWqRngrgLAWj7_DsPqlFhd7WX0GhhceB-_6Il2-rjbEr9-07Kvd3FZJ93qgIco3FScyOtt8Yrm8nEeonjyOJYoPMmGjttZKHoQuWUyxJXoJZW2bRItXA6M8bqiMq9A3eVouEQQgXFZEjymzY6lzRwY56qWPe7qO1RvTQJa3fNidDEPL4-Dw7k9q_92Gaa29v43xroETzsCDXbaUfAY1hz5RPY6MUqWGe7nsLp5EpxkVWe7ZJpC2S9PGFHhL1w_2KWVF12VrJZtWDhbAwLvkN6NDW1YU1wBZt2gjI1a8M1qzaWkO0sT6gx6tNvq2fw-Vbq-xzWy6p0L4AVwgS-VQiBkdIorInREcVz0sY078sRiL7Tc-xysAcpkGU-ZI8OOMkJJ3nASR6P4P3VL-dtApKbPt7ssZF3tmiVD8AYwYceXcPrfxb28ubC3sD9_cXRYX44mx-8ggcy-CEa79QmrNcXP9wW3MOf9dnq4nUzSBh8vW3QXQL1TU_i
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LT9wwEB5RqCouhT4QWx71gV5aWfI6TuwcEEIsK1aU1R5ohXpJbccGpG1C2bRV_1p_Xcd5ELVSuXFoLpHysGTn8-Sb8Xg-gD1hrTfWeypyKalAho12MBS8TDQzlluk9L4Wm5DTqbq4SGdL8KvbCxPSKjubWBvqvLQhRo5OesqQu4Ryz75Ni5iNxgc3X2lQkAorrZ2cRgORU_fzB7pvi_3JCL_1G87Hx-dHJ7RVGKA2GiYV1dx4o70wKU-M53YYGTtk1nkdDZ3SPBd4WOGESxOXW8WNMDKXijmVam1UhO0-ghWJPmZw_Gbxp77gr6w1L3ESx1SKWHUrqs22PZkEP15RJDcxjf_8J_ZE96-12fqXN177nwdrHZ62RJscNjPjGSy54jmsdSIWpLVpL-Dq6E6JkZSeHKPJCyS-uCRniMlw_qjn2HVyXZBJeU7CnhkSYop4aaQrTeqkCzJqhWYq0qRxlk2OITmcX-JgVFdfFi_hw4P0dwOWi7Jwm0BypgMPyxmzkVCWGR1bh9TPcRMjH-ADYB0AMtvWZg8SIfOsryodMJMhZrKAmSwewNu7V26awiT3Pbzd4SRrbdQi60EygHcd0vrb_2zs1f2NvYYniLXs_WR6ugWrPIQn6qDVNixXt9_cDjy236vrxe1uPV8IfH5ozP0GSu5Y8w
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Comparison+of+Estimating+Missing+Values+in+IoT+Time+Series+Data+Using+Different+Interpolation+Algorithms&rft.jtitle=International+journal+of+parallel+programming&rft.au=Ding+Zengyu&rft.au=Mei+Gang&rft.au=Cuomo+Salvatore&rft.au=Li%2C+Yixuan&rft.date=2020-06-01&rft.pub=Springer+Nature+B.V&rft.issn=0885-7458&rft.eissn=1573-7640&rft.volume=48&rft.issue=3&rft.spage=534&rft.epage=548&rft_id=info:doi/10.1007%2Fs10766-018-0595-5&rft.externalDBID=HAS_PDF_LINK
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0885-7458&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0885-7458&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0885-7458&client=summon