Reference health

Performance of multi-level association rule mining for the relationship between causal factor patterns and flash flood magnitudes in a humid area

https://doi.org/10.1080/19475705.2019.1655102
CiteStamped reference-health badge
41/41 checkable references clean · checked 2026-07-23

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

6 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 41 checked references that resolve
resolves10.5194/hess-19-1659-2015
Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes
resolves10.1016/j.scitotenv.2018.12.397
Flash-Flood Potential assessment in the upper and middle sector of Prahova river catchment (Romania). A comparative approach between four hybrid models
resolves10.1007/s12040-017-0828-9
Flash-flood potential assessment and mapping by integrating the weights-of-evidence and frequency ratio statistical methods in GIS environment – case study: Bâsca Chiojdului River catchment (Romania)
resolves10.1109/JPROC.2010.2043918
The Soil Moisture Active Passive (SMAP) Mission
resolves10.1080/19475705.2018.1480539
The impact of human activities on the occurrence of mountain flood hazards: lessons from the 17 August 2015 flash flood/debris flow event in Xuyong County, south-western China
resolves10.1080/02626667.2014.919391
Evaluation of past, present and future tools for radar-based flash-flood prediction in the USA
resolves10.1061/(ASCE)HE.1943-5584.0000879
Performance of a Theoretical Model for the Description of Water Balance and Runoff Dynamics in Southern Italy
resolves10.1016/j.enconman.2014.04.028
A new wind speed forecasting strategy based on the chaotic time series modelling technique and the Apriori algorithm
resolves10.1016/j.jhydrol.2016.03.007
Initial soil moisture effects on flash flood generation – A comparison between basins of contrasting hydro-climatic conditions
resolves10.1038/ngeo944
Skill in streamflow forecasts derived from large-scale estimates of soil moisture and snow
resolves10.1080/07900627.2018.1435409
Flash flood early warning research in China
resolves10.1016/j.rse.2012.03.014
Trend-preserving blending of passive and active microwave soil moisture retrievals
resolves10.5194/hess-15-425-2011
Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
resolves10.1016/j.scitotenv.2017.05.260
Lessons learned from Khartoum flash flood impacts: An integrated assessment
resolves10.5194/hessd-5-723-2008
A stochastic approach for the description of the water balance dynamics in a river basin
resolves10.5194/nhess-8-1349-2008
Runoff generation dynamics within a humid river basin
resolves10.3390/rs10020292
Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction
resolves10.1016/j.jhydrol.2017.05.024
Assimilation of soil moisture and streamflow observations to improve flood forecasting with considering runoff routing lags
resolves10.1029/2003JD003823
The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system
resolves10.1016/j.advwatres.2012.03.022
Can ASCAT-derived soil wetness indices reduce predictive uncertainty in well-gauged areas? A comparison with in situ observed soil moisture in an assimilation application
resolves10.1007/s10346-016-0693-7
Identification of causal factors for the Majiagou landslide using modern data mining methods
resolves10.1002/2015JD024646
A diagnostic study on heavy rainfall induced by Typhoon Utor (2013) in South China: 1. Rainfall asymmetry at landfall
resolves10.1016/j.knosys.2016.06.031
An efficient approximation to the K-means clustering for massive data
resolves10.1016/j.eswa.2012.08.028
Association rule mining to detect factors which contribute to heart disease in males and females
resolves10.1016/j.ins.2012.07.001
Weighted association rule mining via a graph based connectivity model
resolves10.1016/j.jbi.2018.02.001
Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data
resolves10.1016/j.eswa.2010.06.060
Multi objective association rule mining with genetic algorithm without specifying minimum support and minimum confidence
resolves10.1016/j.jhydrol.2014.08.008
Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment
resolves10.1175/BAMS-85-3-381
The Global Land Data Assimilation System
resolves10.1175/JHM-D-16-0082.1
Mapping Flash Flood Severity in the United States
resolves10.3390/rs5104961
Comparison between SAR Soil Moisture Estimates and Hydrological Model Simulations over the Scrivia Test Site
resolves10.5194/hess-9-173-2005
Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing
resolves10.1029/2018WR022643
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
resolves10.1016/j.knosys.2018.04.038
ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization
resolves10.1016/j.eswa.2016.09.025
An improved overlapping k-means clustering method for medical applications
resolves10.1016/j.jhydrol.2016.01.059
Mixed artificial grasslands with more roots improved mine soil infiltration capacity
resolves10.1080/19475705.2015.1012750
Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS
resolves10.1007/s11707-017-0636-1
Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania)
resolves10.1007/s11069-018-3404-y
Rainfall threshold determination for flash flood warning in mountainous catchments with consideration of antecedent soil moisture and rainfall pattern
resolves10.1002/hyp.7599
Changing properties of hydrological extremes in south China: natural variations or human influences?
resolves10.1007/s00376-016-6128-5
Spatial characteristics of extreme rainfall over China with hourly through 24-hour accumulation periods based on national-level hourly rain gauge data
The 6 references without a DOI — listed, not checked
no DOI — not checkedCIT0001
no DOI — not checkedCIT0002
no DOI — not checkedProceeding of 20th VLDB Conference;
no DOI — not checkedCIT0022
no DOI — not checkedAMSR-E/Aqua Daily L3 surface soil moisture, interpretive parameters, & QC EASE-grids, version 2. Boulder
no DOI — not checkedWagner W, Dorigo W, de Jeu R, Fernandez D, Benveniste J, Haas E, Ertl M. 2012. Fusion of active and passive microwave observations to create an essential climate variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I–7, XXII ISPRS Congress; August 25–September 1; Melbourne, Australia. p. 315–321.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-07-23 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.1080/19475705.2019.1655102"><img src="https://citestamp.com/citestamped/10.1080/19475705.2019.1655102/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.1080/19475705.2019.1655102/badge.svg)](https://citestamp.com/citestamped/10.1080/19475705.2019.1655102)