https://mw.hh.se/caisr/index.php?action=history&feed=atom&title=Analysis_of_multi-machine%2Fmulti-sensor_data 2026-04-04T23:51:33Z Revision history for this page on the wiki MediaWiki 1.35.13 https://mw.hh.se/caisr/index.php?title=Analysis_of_multi-machine/multi-sensor_data&diff=4762&oldid=prev 2020-10-22T13:36:50Z

<p></p> <table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 13:36, 22 October 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l2" >Line 2:</td> <td colspan="2" class="diff-lineno">Line 2:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Summary=Data mining on multi-machine/multi-sensor time series data</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Summary=Data mining on multi-machine/multi-sensor time series data</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Keywords=data mining, sensors, time series</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Keywords=data mining, sensors, time series</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|Supervisor=Hadi Fanaee-T (www.fanaee.com)</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|Supervisor=Hadi Fanaee-T (www.fanaee.com)<ins class="diffchange diffchange-inline">, Mahmoud Rahat</ins></div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Level=Master</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Level=Master</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Status=Open</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Status=Open</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>}}</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>}}</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>This is a fantastic opportunity to work with Alfa Laval, a world&#039;s leader and pioneer in producing separator machines. This data mining project aims to generate insights from multi-machine/multi-sensor time series data generated by Alfa Laval machines. Various problems such as clustering, co-clustering, anomaly and outlier detection, and sequence mining can be investigated depending on the student&#039;s interests. Please contact supervisor via email to discuss more: hadi.fanaee@hh.se</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>This is a fantastic opportunity to work with Alfa Laval, a world&#039;s leader and pioneer in producing separator machines. This data mining project aims to generate insights from multi-machine/multi-sensor time series data generated by Alfa Laval machines. Various problems such as clustering, co-clustering, anomaly and outlier detection, and sequence mining can be investigated depending on the student&#039;s interests. Please contact supervisor via email to discuss more: hadi.fanaee@hh.se</div></td></tr> </table>

Islab https://mw.hh.se/caisr/index.php?title=Analysis_of_multi-machine/multi-sensor_data&diff=4753&oldid=prev 2020-10-20T12:31:11Z

<p>Created page with &quot;{{StudentProjectTemplate |Summary=Data mining on multi-machine/multi-sensor time series data |Keywords=data mining, sensors, time series |Supervisor=Hadi Fanaee-T (www.fanaee....&quot;</p> <p><b>New page</b></p><div>{{StudentProjectTemplate<br /> |Summary=Data mining on multi-machine/multi-sensor time series data<br /> |Keywords=data mining, sensors, time series<br /> |Supervisor=Hadi Fanaee-T (www.fanaee.com)<br /> |Level=Master<br /> |Status=Open<br /> }}<br /> This is a fantastic opportunity to work with Alfa Laval, a world&#039;s leader and pioneer in producing separator machines. This data mining project aims to generate insights from multi-machine/multi-sensor time series data generated by Alfa Laval machines. Various problems such as clustering, co-clustering, anomaly and outlier detection, and sequence mining can be investigated depending on the student&#039;s interests. Please contact supervisor via email to discuss more: hadi.fanaee@hh.se</div>

Islab