Clustering time series by linear dependency Article Swipe
Andrés M. Alonso
,
Daniel Peña
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1007/s11222-018-9830-6
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1007/s11222-018-9830-6
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s11222-018-9830-6
- OA Status
- green
- Cited By
- 43
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2892224330
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2892224330Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s11222-018-9830-6Digital Object Identifier
- Title
-
Clustering time series by linear dependencyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-09-05Full publication date if available
- Authors
-
Andrés M. Alonso, Daniel PeñaList of authors in order
- Landing page
-
https://doi.org/10.1007/s11222-018-9830-6Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://e-archivo.uc3m.es/bitstreams/de7e4ed0-9f48-4b41-a344-2d8dbe894b23/downloadDirect OA link when available
- Concepts
-
Series (stratigraphy), Cluster analysis, Bivariate analysis, Univariate, Measure (data warehouse), Similarity measure, Mathematics, Dependency (UML), Time series, Monte Carlo method, Data mining, Algorithm, Computer science, Statistics, Artificial intelligence, Multivariate statistics, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
43Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 4, 2023: 10, 2022: 7, 2021: 11Per-year citation counts (last 5 years)
- References (count)
-
61Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2892224330 |
|---|---|
| doi | https://doi.org/10.1007/s11222-018-9830-6 |
| ids.doi | https://doi.org/10.1007/s11222-018-9830-6 |
| ids.mag | 2892224330 |
| ids.openalex | https://openalex.org/W2892224330 |
| fwci | 3.79279907 |
| type | article |
| title | Clustering time series by linear dependency |
| awards[0].id | https://openalex.org/G8552237088 |
| awards[0].funder_id | https://openalex.org/F4320334857 |
| awards[0].display_name | |
| awards[0].funder_award_id | ECO2015-66593-P |
| awards[0].funder_display_name | Consejo Superior de Investigaciones Científicas |
| biblio.issue | 4 |
| biblio.volume | 29 |
| biblio.last_page | 676 |
| biblio.first_page | 655 |
| topics[0].id | https://openalex.org/T12205 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9991000294685364 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1711 |
| topics[0].subfield.display_name | Signal Processing |
| topics[0].display_name | Time Series Analysis and Forecasting |
| topics[1].id | https://openalex.org/T11270 |
| topics[1].field.id | https://openalex.org/fields/20 |
| topics[1].field.display_name | Economics, Econometrics and Finance |
| topics[1].score | 0.9958999752998352 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2002 |
| topics[1].subfield.display_name | Economics and Econometrics |
| topics[1].display_name | Complex Systems and Time Series Analysis |
| topics[2].id | https://openalex.org/T12114 |
| topics[2].field.id | https://openalex.org/fields/11 |
| topics[2].field.display_name | Agricultural and Biological Sciences |
| topics[2].score | 0.9532999992370605 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1106 |
| topics[2].subfield.display_name | Food Science |
| topics[2].display_name | Sensory Analysis and Statistical Methods |
| funders[0].id | https://openalex.org/F4320334857 |
| funders[0].ror | https://ror.org/02gfc7t72 |
| funders[0].display_name | Consejo Superior de Investigaciones Científicas |
| is_xpac | False |
| apc_list.value | 2090 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2690 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C143724316 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6976304650306702 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q312468 |
| concepts[0].display_name | Series (stratigraphy) |
| concepts[1].id | https://openalex.org/C73555534 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6763627529144287 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q622825 |
| concepts[1].display_name | Cluster analysis |
| concepts[2].id | https://openalex.org/C64341305 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6717478036880493 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q4919225 |
| concepts[2].display_name | Bivariate analysis |
| concepts[3].id | https://openalex.org/C199163554 |
| concepts[3].level | 3 |
| concepts[3].score | 0.6588668823242188 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1681619 |
| concepts[3].display_name | Univariate |
| concepts[4].id | https://openalex.org/C2780009758 |
| concepts[4].level | 2 |
| concepts[4].score | 0.603315532207489 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q6804172 |
| concepts[4].display_name | Measure (data warehouse) |
| concepts[5].id | https://openalex.org/C2776517306 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5976842641830444 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q29017317 |
| concepts[5].display_name | Similarity measure |
| concepts[6].id | https://openalex.org/C33923547 |
| concepts[6].level | 0 |
| concepts[6].score | 0.559787392616272 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[6].display_name | Mathematics |
| concepts[7].id | https://openalex.org/C19768560 |
| concepts[7].level | 2 |
| concepts[7].score | 0.5065408945083618 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q320727 |
| concepts[7].display_name | Dependency (UML) |
| concepts[8].id | https://openalex.org/C151406439 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4620956480503082 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q186588 |
| concepts[8].display_name | Time series |
| concepts[9].id | https://openalex.org/C19499675 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4349250793457031 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q232207 |
| concepts[9].display_name | Monte Carlo method |
| concepts[10].id | https://openalex.org/C124101348 |
| concepts[10].level | 1 |
| concepts[10].score | 0.40277931094169617 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[10].display_name | Data mining |
| concepts[11].id | https://openalex.org/C11413529 |
| concepts[11].level | 1 |
| concepts[11].score | 0.3932252824306488 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[11].display_name | Algorithm |
| concepts[12].id | https://openalex.org/C41008148 |
| concepts[12].level | 0 |
| concepts[12].score | 0.35222506523132324 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[12].display_name | Computer science |
| concepts[13].id | https://openalex.org/C105795698 |
| concepts[13].level | 1 |
| concepts[13].score | 0.26203978061676025 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[13].display_name | Statistics |
| concepts[14].id | https://openalex.org/C154945302 |
| concepts[14].level | 1 |
| concepts[14].score | 0.2292061746120453 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[14].display_name | Artificial intelligence |
| concepts[15].id | https://openalex.org/C161584116 |
| concepts[15].level | 2 |
| concepts[15].score | 0.17020848393440247 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q1952580 |
| concepts[15].display_name | Multivariate statistics |
| concepts[16].id | https://openalex.org/C86803240 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[16].display_name | Biology |
| concepts[17].id | https://openalex.org/C151730666 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[17].display_name | Paleontology |
| keywords[0].id | https://openalex.org/keywords/series |
| keywords[0].score | 0.6976304650306702 |
| keywords[0].display_name | Series (stratigraphy) |
| keywords[1].id | https://openalex.org/keywords/cluster-analysis |
| keywords[1].score | 0.6763627529144287 |
| keywords[1].display_name | Cluster analysis |
| keywords[2].id | https://openalex.org/keywords/bivariate-analysis |
| keywords[2].score | 0.6717478036880493 |
| keywords[2].display_name | Bivariate analysis |
| keywords[3].id | https://openalex.org/keywords/univariate |
| keywords[3].score | 0.6588668823242188 |
| keywords[3].display_name | Univariate |
| keywords[4].id | https://openalex.org/keywords/measure |
| keywords[4].score | 0.603315532207489 |
| keywords[4].display_name | Measure (data warehouse) |
| keywords[5].id | https://openalex.org/keywords/similarity-measure |
| keywords[5].score | 0.5976842641830444 |
| keywords[5].display_name | Similarity measure |
| keywords[6].id | https://openalex.org/keywords/mathematics |
| keywords[6].score | 0.559787392616272 |
| keywords[6].display_name | Mathematics |
| keywords[7].id | https://openalex.org/keywords/dependency |
| keywords[7].score | 0.5065408945083618 |
| keywords[7].display_name | Dependency (UML) |
| keywords[8].id | https://openalex.org/keywords/time-series |
| keywords[8].score | 0.4620956480503082 |
| keywords[8].display_name | Time series |
| keywords[9].id | https://openalex.org/keywords/monte-carlo-method |
| keywords[9].score | 0.4349250793457031 |
| keywords[9].display_name | Monte Carlo method |
| keywords[10].id | https://openalex.org/keywords/data-mining |
| keywords[10].score | 0.40277931094169617 |
| keywords[10].display_name | Data mining |
| keywords[11].id | https://openalex.org/keywords/algorithm |
| keywords[11].score | 0.3932252824306488 |
| keywords[11].display_name | Algorithm |
| keywords[12].id | https://openalex.org/keywords/computer-science |
| keywords[12].score | 0.35222506523132324 |
| keywords[12].display_name | Computer science |
| keywords[13].id | https://openalex.org/keywords/statistics |
| keywords[13].score | 0.26203978061676025 |
| keywords[13].display_name | Statistics |
| keywords[14].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[14].score | 0.2292061746120453 |
| keywords[14].display_name | Artificial intelligence |
| keywords[15].id | https://openalex.org/keywords/multivariate-statistics |
| keywords[15].score | 0.17020848393440247 |
| keywords[15].display_name | Multivariate statistics |
| language | en |
| locations[0].id | doi:10.1007/s11222-018-9830-6 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S5437875 |
| locations[0].source.issn | 0960-3174, 1573-1375 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0960-3174 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Statistics and Computing |
| locations[0].source.host_organization | https://openalex.org/P4310319900 |
| locations[0].source.host_organization_name | Springer Science+Business Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Statistics and Computing |
| locations[0].landing_page_url | https://doi.org/10.1007/s11222-018-9830-6 |
| locations[1].id | pmh:oai:e-archivo.uc3m.es:10016/32941 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400817 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | e-Archivo (Carlos III University of Madrid) |
| locations[1].source.host_organization | https://openalex.org/I50357001 |
| locations[1].source.host_organization_name | Universidad Carlos III de Madrid |
| locations[1].source.host_organization_lineage | https://openalex.org/I50357001 |
| locations[1].license | |
| locations[1].pdf_url | https://e-archivo.uc3m.es/bitstreams/de7e4ed0-9f48-4b41-a344-2d8dbe894b23/download |
| locations[1].version | submittedVersion |
| locations[1].raw_type | research article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://hdl.handle.net/10016/32941 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5087607394 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6112-2867 |
| authorships[0].author.display_name | Andrés M. Alonso |
| authorships[0].countries | ES |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I50357001 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Statistics and Institute Flores de Lemus, Universidad Carlos III de Madrid, Getafe, Spain |
| authorships[0].institutions[0].id | https://openalex.org/I50357001 |
| authorships[0].institutions[0].ror | https://ror.org/03ths8210 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I50357001 |
| authorships[0].institutions[0].country_code | ES |
| authorships[0].institutions[0].display_name | Universidad Carlos III de Madrid |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Andrés M. Alonso |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Statistics and Institute Flores de Lemus, Universidad Carlos III de Madrid, Getafe, Spain |
| authorships[1].author.id | https://openalex.org/A5088521043 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-9137-1557 |
| authorships[1].author.display_name | Daniel Peña |
| authorships[1].countries | ES |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I50357001 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Statistics and Institute UC3M-BS of Financial Big Data, Universidad Carlos III de Madrid, Getafe, Spain |
| authorships[1].institutions[0].id | https://openalex.org/I50357001 |
| authorships[1].institutions[0].ror | https://ror.org/03ths8210 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I50357001 |
| authorships[1].institutions[0].country_code | ES |
| authorships[1].institutions[0].display_name | Universidad Carlos III de Madrid |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Daniel Peña |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Statistics and Institute UC3M-BS of Financial Big Data, Universidad Carlos III de Madrid, Getafe, Spain |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://e-archivo.uc3m.es/bitstreams/de7e4ed0-9f48-4b41-a344-2d8dbe894b23/download |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Clustering time series by linear dependency |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12205 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9991000294685364 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1711 |
| primary_topic.subfield.display_name | Signal Processing |
| primary_topic.display_name | Time Series Analysis and Forecasting |
| related_works | https://openalex.org/W4394590985, https://openalex.org/W2348840575, https://openalex.org/W2030498341, https://openalex.org/W3122841410, https://openalex.org/W2046205453, https://openalex.org/W2770017172, https://openalex.org/W89977309, https://openalex.org/W2183901182, https://openalex.org/W2030930882, https://openalex.org/W4300013323 |
| cited_by_count | 43 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 4 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 10 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 7 |
| counts_by_year[4].year | 2021 |
| counts_by_year[4].cited_by_count | 11 |
| counts_by_year[5].year | 2020 |
| counts_by_year[5].cited_by_count | 7 |
| counts_by_year[6].year | 2019 |
| counts_by_year[6].cited_by_count | 2 |
| counts_by_year[7].year | 2018 |
| counts_by_year[7].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:e-archivo.uc3m.es:10016/32941 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400817 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | e-Archivo (Carlos III University of Madrid) |
| best_oa_location.source.host_organization | https://openalex.org/I50357001 |
| best_oa_location.source.host_organization_name | Universidad Carlos III de Madrid |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I50357001 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://e-archivo.uc3m.es/bitstreams/de7e4ed0-9f48-4b41-a344-2d8dbe894b23/download |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | research article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://hdl.handle.net/10016/32941 |
| primary_location.id | doi:10.1007/s11222-018-9830-6 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S5437875 |
| primary_location.source.issn | 0960-3174, 1573-1375 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0960-3174 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Statistics and Computing |
| primary_location.source.host_organization | https://openalex.org/P4310319900 |
| primary_location.source.host_organization_name | Springer Science+Business Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Statistics and Computing |
| primary_location.landing_page_url | https://doi.org/10.1007/s11222-018-9830-6 |
| publication_date | 2018-09-05 |
| publication_year | 2018 |
| referenced_works | https://openalex.org/W2146291192, https://openalex.org/W1894414046, https://openalex.org/W2081125316, https://openalex.org/W1835723726, https://openalex.org/W2238789025, https://openalex.org/W2136063736, https://openalex.org/W1997336782, https://openalex.org/W2496601513, https://openalex.org/W1978551333, https://openalex.org/W2049623660, https://openalex.org/W2532750312, https://openalex.org/W3121318964, https://openalex.org/W1970754582, https://openalex.org/W160896187, https://openalex.org/W2241662248, https://openalex.org/W4241115065, https://openalex.org/W4206469534, https://openalex.org/W2234763457, https://openalex.org/W4235169531, https://openalex.org/W1996794795, https://openalex.org/W2046317813, https://openalex.org/W2113427226, https://openalex.org/W2220854427, https://openalex.org/W2950126918, https://openalex.org/W2070412788, https://openalex.org/W2097747115, https://openalex.org/W2079965122, https://openalex.org/W2199502820, https://openalex.org/W1908079346, https://openalex.org/W2157305458, https://openalex.org/W1861505052, https://openalex.org/W1988197914, https://openalex.org/W2056251361, https://openalex.org/W2153574643, https://openalex.org/W2025605033, https://openalex.org/W2114830639, https://openalex.org/W2004354629, https://openalex.org/W1987971958, https://openalex.org/W1977514375, https://openalex.org/W2057756303, https://openalex.org/W2135046866, https://openalex.org/W2071949631, https://openalex.org/W1966141974, https://openalex.org/W2596274502, https://openalex.org/W1606487396, https://openalex.org/W2129871038, https://openalex.org/W1965949177, https://openalex.org/W2062419592, https://openalex.org/W2123838014, https://openalex.org/W2993845287, https://openalex.org/W1481086236, https://openalex.org/W1556819084, https://openalex.org/W2063698478, https://openalex.org/W2549568718, https://openalex.org/W4240226474, https://openalex.org/W3101440325, https://openalex.org/W3144951960, https://openalex.org/W3125327113, https://openalex.org/W4230727635, https://openalex.org/W2164570713, https://openalex.org/W3146166473 |
| referenced_works_count | 61 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5087607394 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I50357001 |
| citation_normalized_percentile.value | 0.93908339 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |