{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:28:48Z","timestamp":1760243328860,"version":"build-2065373602"},"reference-count":30,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2014,10,13]],"date-time":"2014-10-13T00:00:00Z","timestamp":1413158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Wireless sensor networks are usually deployed for monitoring given physical phenomena taking place in a specific space and over a specific duration of time. The spatio-temporal distribution of these phenomena often correlates to certain physical events. To appropriately characterise these events-phenomena relationships over a given space for a given time frame, we require continuous monitoring of the conditions. WSNs are perfectly suited for these tasks, due to their inherent robustness. This paper presents a subtractive fuzzy cluster means algorithm and its application in data stream mining for wireless sensor systems over a cloud-computing-like architecture, which we call sensor cloud data stream mining. Benchmarking on standard mining algorithms, the k-means and the FCM algorithms, we have demonstrated that the subtractive fuzzy cluster means model can perform high quality distributed data stream mining tasks comparable to centralised data stream mining.<\/jats:p>","DOI":"10.3390\/s141018960","type":"journal-article","created":{"date-parts":[[2014,10,14]],"date-time":"2014-10-14T02:13:08Z","timestamp":1413252788000},"page":"18960-18981","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Multivariate Spatial Condition Mapping Using Subtractive Fuzzy Cluster Means"],"prefix":"10.3390","volume":"14","author":[{"given":"Hakilo","family":"Sabit","sequence":"first","affiliation":[{"name":"Electrical and Electronic Engineering, Auckland University of Technology, 24 St Paul Street, Auckland 1010, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adnan","family":"Al-Anbuky","sequence":"additional","affiliation":[{"name":"Electrical and Electronic Engineering, Auckland University of Technology, 24 St Paul Street, Auckland 1010, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,10,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.tree.2005.04.025","article-title":"Fire as a global \u201cherbivore\u201d: The ecology and evolution of flammable ecosystems","volume":"20","author":"Bond","year":"2005","journal-title":"Trends Ecol. 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