Efficient clustering of big data streams:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Aachen
Apprimus-Verl.
2015
|
Ausgabe: | 1. Aufl. |
Schriftenreihe: | Ergebnisse aus der Informatik
4 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | III, 244, XXV S. Ill., graph. Darst. 21 cm, 400 g |
ISBN: | 9783863593186 |
Internformat
MARC
LEADER | 00000nam a2200000 cb4500 | ||
---|---|---|---|
001 | BV042643008 | ||
003 | DE-604 | ||
005 | 20150714 | ||
007 | t | ||
008 | 150626s2015 gw ad|| m||| 00||| eng d | ||
015 | |a 15,A26 |2 dnb | ||
015 | |a 15,H07 |2 dnb | ||
016 | 7 | |a 1072248328 |2 DE-101 | |
020 | |a 9783863593186 |c kart. : EUR 39.00 (DE), EUR 40.10 (AT), sfr 51.90 (freier Pr.) |9 978-3-86359-318-6 | ||
035 | |a (OCoLC)912474212 | ||
035 | |a (DE-599)DNB1072248328 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a eng | |
044 | |a gw |c XA-DE-NW | ||
049 | |a DE-473 |a DE-83 | ||
082 | 0 | |a 006.312 |2 22/ger | |
084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
084 | |a 620 |2 sdnb | ||
084 | |a 510 |2 sdnb | ||
084 | |a 004 |2 sdnb | ||
100 | 1 | |a Hassani, Marwan |e Verfasser |0 (DE-588)1072861577 |4 aut | |
245 | 1 | 0 | |a Efficient clustering of big data streams |c Marwan Hassani |
250 | |a 1. Aufl. | ||
264 | 1 | |a Aachen |b Apprimus-Verl. |c 2015 | |
300 | |a III, 244, XXV S. |b Ill., graph. Darst. |c 21 cm, 400 g | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Ergebnisse aus der Informatik |v 4 | |
490 | 0 | |a Edition Wissenschaft - Apprimus | |
502 | |a Zugl.: Aachen, Techn. Hochsch., Diss., 2015 | ||
650 | 0 | 7 | |a Sensorsystem |0 (DE-588)4307964-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Cluster-Analyse |0 (DE-588)4070044-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Dichtebasiertes Clusterverfahren |0 (DE-588)4808371-9 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Datenstrom |0 (DE-588)4410055-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Unterraum |0 (DE-588)4237989-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Energieeffizienz |0 (DE-588)7660153-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Hochdimensionale Daten |0 (DE-588)7862975-5 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
689 | 0 | 0 | |a Big Data |0 (DE-588)4802620-7 |D s |
689 | 0 | 1 | |a Data Mining |0 (DE-588)4428654-5 |D s |
689 | 0 | 2 | |a Cluster-Analyse |0 (DE-588)4070044-6 |D s |
689 | 0 | 3 | |a Datenstrom |0 (DE-588)4410055-3 |D s |
689 | 0 | 4 | |a Hochdimensionale Daten |0 (DE-588)7862975-5 |D s |
689 | 0 | 5 | |a Unterraum |0 (DE-588)4237989-1 |D s |
689 | 0 | 6 | |a Dichtebasiertes Clusterverfahren |0 (DE-588)4808371-9 |D s |
689 | 0 | 7 | |a Sensorsystem |0 (DE-588)4307964-7 |D s |
689 | 0 | 8 | |a Energieeffizienz |0 (DE-588)7660153-5 |D s |
689 | 0 | |5 DE-604 | |
830 | 0 | |a Ergebnisse aus der Informatik |v 4 |w (DE-604)BV041550009 |9 4 | |
856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028075347&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-028075347 |
Datensatz im Suchindex
_version_ | 1804174827942051840 |
---|---|
adam_text | CONTENTS
ABSTRACT / ZUSAMMENFASSUNG 1
1 OVERVIEW 5
1.1 INTRODUCTION 5
1.2 CHALLENGES FOR STREAM CLUSTERING 8
1.3 CONTRIBUTION AND THESIS STRUCTURE 11
1 ENERGY-EFFICIENT AGGREGATION AND CLUSTERING OF SENSOR
STREAMING DATA 15
2 ENERGY-EFFICIENT DISTRIBUTED IN-NETWORK CLUSTERING OF SENSOR
DATA 17
2.1 MOTIVATION 18
2.2 RELATED WORK 21
2.3 PROBLEMS FORMULATION 25
2.4 THE EDISKCO ALGORITHM 28
2.5 EXPERIMENTAL EVALUATION 36
2.6 CONCLUSION 40
3 WEIGHTED OUTLIER-AWARE K-CENTER CLUSTERING OF SENSOR DATA 41
3.1 MOTIVATION 41
3.2 PRELIMINARIES 42
3.3 THE SENCLU ALGORITHM 43
3.4 EXPERIMENTAL EVALUATION 48
3.5 CONCLUSION 51
4 ENERGY-EFFICIENT SELF-ADAPTIVE CLUSTERING OF SENSOR NODES 53
4.1 MOTIVATION 54
4.2 RELATED WORK 56
I
HTTP://D-NB.INFO/1072248328
CONTENTS
4.3 PROBLEM FORMULATION 59
4.4 THE ECLUN ALGORITHM 60
4.5 EXPERIMENTAL EVALUATION 66
4.6 CONCLUSION 74
II HIGH-DIMENSIONAL DENSITY-BASED STREAM CLUSTERING 75
5 PROJECTED DENSITY-BASED STREAM CLUSTERING 77
5.1 MOTIVATION 77
5.2 RELATED WORK 80
5.3 PROBLEM FORMULATION AND DEFINITIONS 83
5.4 THE PREDECONSTREAM ALGORITHM 92
5.5 EXPERIMENTAL EVALUATION 96
5.6 CONCLUSION 109
6 HIERARCHICAL ADAPTIVE DENSITY-BASED STREAM CLUSTERING 111
6.1 MOTIVATION F 112
6.2 RELATED WORK 114
6.3 PRELIMINARIES AND DATA STRUCTURE 119
6.4 THE HASTREAM ALGORITHM 132
6.5 EXPERIMENTAL EVALUATION 140
6.6 CONCLUSION 154
III ADVANCED ANYTIME STREAM CLUSTERING 155
7 OUTLIER-AWARE NON-REDUNDANT ANYTIME STREAM CLUSTERING 157
7.1 MOTIVATION 157
7.2 RELATED WORK 159
7.3 THE LIARTREE ALGORITHM 161
7.4 EXPERIMENTAL EVALUATION 172
7.5 CONCLUSION 178
8 ANYTIME SUBSPACE STREAM CLUSTERING 179
8.1 MOTIVATION 180
8.2 DEVELOPING SUBCLUSTREE 181
8.3 THE SUBCLUSTREE ALGORITHM 191
CONTENTS III
8.4 EXPERIMENTAL EVALUATION 195
8.5 CONCLUSION 204
IV FRAMEWORK AND EVALUATION MEASURES FOR STREAM SUB-
SPACE CLUSTERING 205
9 THE SUBSPACE MOA FRAMEWORK 207
9.1 MOTIVATION 207
9.2 THE SUBSPACE MOA FRAMEWORK 209
9.3 EXPERIMENTAL EVALUATION 213
9.4 CONCLUSION 217
10 SUBSPACE CLUSTER MAPPING MEASURE (SUBCMM) 219
10.1 MOTIVATION 219
10.2 RELATED WORK 221
10.3 SUBCMM: SUBSPACE CLUSTER MAPPING MEASURE 225
10.4 EXPERIMENTAL EVALUATION 227
10.5 CONCLUSION 234
V SUMMARY 237
11 SUMMARY AND FUTURE WORK 239
11.1 SUMMARY 239
11.2 FUTURE WORK 243
VI APPENDICES I
BIBLIOGRAPHY
IN
STATEMENT OF ORIGINALITY XIX
LIST OF PUBLICATIONS XXI
|
any_adam_object | 1 |
author | Hassani, Marwan |
author_GND | (DE-588)1072861577 |
author_facet | Hassani, Marwan |
author_role | aut |
author_sort | Hassani, Marwan |
author_variant | m h mh |
building | Verbundindex |
bvnumber | BV042643008 |
classification_rvk | ST 530 |
ctrlnum | (OCoLC)912474212 (DE-599)DNB1072248328 |
dewey-full | 006.312 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.312 |
dewey-search | 006.312 |
dewey-sort | 16.312 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Maschinenbau / Maschinenwesen Informatik Mathematik |
edition | 1. Aufl. |
format | Thesis Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02776nam a2200673 cb4500</leader><controlfield tag="001">BV042643008</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20150714 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">150626s2015 gw ad|| m||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">15,A26</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">15,H07</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1072248328</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783863593186</subfield><subfield code="c">kart. : EUR 39.00 (DE), EUR 40.10 (AT), sfr 51.90 (freier Pr.)</subfield><subfield code="9">978-3-86359-318-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)912474212</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1072248328</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-NW</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-473</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.312</subfield><subfield code="2">22/ger</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">620</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">510</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hassani, Marwan</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1072861577</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Efficient clustering of big data streams</subfield><subfield code="c">Marwan Hassani</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1. Aufl.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Aachen</subfield><subfield code="b">Apprimus-Verl.</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">III, 244, XXV S.</subfield><subfield code="b">Ill., graph. Darst.</subfield><subfield code="c">21 cm, 400 g</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Ergebnisse aus der Informatik</subfield><subfield code="v">4</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Edition Wissenschaft - Apprimus</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="a">Zugl.: Aachen, Techn. Hochsch., Diss., 2015</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Sensorsystem</subfield><subfield code="0">(DE-588)4307964-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Cluster-Analyse</subfield><subfield code="0">(DE-588)4070044-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Dichtebasiertes Clusterverfahren</subfield><subfield code="0">(DE-588)4808371-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenstrom</subfield><subfield code="0">(DE-588)4410055-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Unterraum</subfield><subfield code="0">(DE-588)4237989-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Energieeffizienz</subfield><subfield code="0">(DE-588)7660153-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Hochdimensionale Daten</subfield><subfield code="0">(DE-588)7862975-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Cluster-Analyse</subfield><subfield code="0">(DE-588)4070044-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Datenstrom</subfield><subfield code="0">(DE-588)4410055-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Hochdimensionale Daten</subfield><subfield code="0">(DE-588)7862975-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Unterraum</subfield><subfield code="0">(DE-588)4237989-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="6"><subfield code="a">Dichtebasiertes Clusterverfahren</subfield><subfield code="0">(DE-588)4808371-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="7"><subfield code="a">Sensorsystem</subfield><subfield code="0">(DE-588)4307964-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="8"><subfield code="a">Energieeffizienz</subfield><subfield code="0">(DE-588)7660153-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Ergebnisse aus der Informatik</subfield><subfield code="v">4</subfield><subfield code="w">(DE-604)BV041550009</subfield><subfield code="9">4</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028075347&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028075347</subfield></datafield></record></collection> |
genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV042643008 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:06:35Z |
institution | BVB |
isbn | 9783863593186 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028075347 |
oclc_num | 912474212 |
open_access_boolean | |
owner | DE-473 DE-BY-UBG DE-83 |
owner_facet | DE-473 DE-BY-UBG DE-83 |
physical | III, 244, XXV S. Ill., graph. Darst. 21 cm, 400 g |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Apprimus-Verl. |
record_format | marc |
series | Ergebnisse aus der Informatik |
series2 | Ergebnisse aus der Informatik Edition Wissenschaft - Apprimus |
spelling | Hassani, Marwan Verfasser (DE-588)1072861577 aut Efficient clustering of big data streams Marwan Hassani 1. Aufl. Aachen Apprimus-Verl. 2015 III, 244, XXV S. Ill., graph. Darst. 21 cm, 400 g txt rdacontent n rdamedia nc rdacarrier Ergebnisse aus der Informatik 4 Edition Wissenschaft - Apprimus Zugl.: Aachen, Techn. Hochsch., Diss., 2015 Sensorsystem (DE-588)4307964-7 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Dichtebasiertes Clusterverfahren (DE-588)4808371-9 gnd rswk-swf Datenstrom (DE-588)4410055-3 gnd rswk-swf Unterraum (DE-588)4237989-1 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Energieeffizienz (DE-588)7660153-5 gnd rswk-swf Hochdimensionale Daten (DE-588)7862975-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Big Data (DE-588)4802620-7 s Data Mining (DE-588)4428654-5 s Cluster-Analyse (DE-588)4070044-6 s Datenstrom (DE-588)4410055-3 s Hochdimensionale Daten (DE-588)7862975-5 s Unterraum (DE-588)4237989-1 s Dichtebasiertes Clusterverfahren (DE-588)4808371-9 s Sensorsystem (DE-588)4307964-7 s Energieeffizienz (DE-588)7660153-5 s DE-604 Ergebnisse aus der Informatik 4 (DE-604)BV041550009 4 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028075347&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Hassani, Marwan Efficient clustering of big data streams Ergebnisse aus der Informatik Sensorsystem (DE-588)4307964-7 gnd Cluster-Analyse (DE-588)4070044-6 gnd Dichtebasiertes Clusterverfahren (DE-588)4808371-9 gnd Datenstrom (DE-588)4410055-3 gnd Unterraum (DE-588)4237989-1 gnd Data Mining (DE-588)4428654-5 gnd Big Data (DE-588)4802620-7 gnd Energieeffizienz (DE-588)7660153-5 gnd Hochdimensionale Daten (DE-588)7862975-5 gnd |
subject_GND | (DE-588)4307964-7 (DE-588)4070044-6 (DE-588)4808371-9 (DE-588)4410055-3 (DE-588)4237989-1 (DE-588)4428654-5 (DE-588)4802620-7 (DE-588)7660153-5 (DE-588)7862975-5 (DE-588)4113937-9 |
title | Efficient clustering of big data streams |
title_auth | Efficient clustering of big data streams |
title_exact_search | Efficient clustering of big data streams |
title_full | Efficient clustering of big data streams Marwan Hassani |
title_fullStr | Efficient clustering of big data streams Marwan Hassani |
title_full_unstemmed | Efficient clustering of big data streams Marwan Hassani |
title_short | Efficient clustering of big data streams |
title_sort | efficient clustering of big data streams |
topic | Sensorsystem (DE-588)4307964-7 gnd Cluster-Analyse (DE-588)4070044-6 gnd Dichtebasiertes Clusterverfahren (DE-588)4808371-9 gnd Datenstrom (DE-588)4410055-3 gnd Unterraum (DE-588)4237989-1 gnd Data Mining (DE-588)4428654-5 gnd Big Data (DE-588)4802620-7 gnd Energieeffizienz (DE-588)7660153-5 gnd Hochdimensionale Daten (DE-588)7862975-5 gnd |
topic_facet | Sensorsystem Cluster-Analyse Dichtebasiertes Clusterverfahren Datenstrom Unterraum Data Mining Big Data Energieeffizienz Hochdimensionale Daten Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028075347&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV041550009 |
work_keys_str_mv | AT hassanimarwan efficientclusteringofbigdatastreams |