Bremen Big Data Challenge 2017: Predicting University Cafeteria Load View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-09-19

AUTHORS

Jochen Weiner , Lorenz Diener , Simon Stelter , Eike Externest , Sebastian Kühl , Christian Herff , Felix Putze , Timo Schulze , Mazen Salous , Hui Liu , Dennis Küster , Tanja Schultz

ABSTRACT

Big data is a hot topic in research and industry. The availability of data has never been as high as it is now. Making good use of the data is a challenging research topic in all aspects of industry and society. The Bremen Big Data Challenge invites students to dig deep into big data. In this yearly event students are challenged to use the month of March to analyze a big dataset and use the knowledge they gained to answer a question. In this year’s Bremen Big Data Challenge students were challenged to predict the load of the university cafeteria from the load of past years. The best of 24 teams predicted the load with a root mean squared error of 8.6 receipts issued in five minutes, with a fusion system based on the top 5 entries achieving an even better result of 8.28. More... »

PAGES

380-386

Book

TITLE

KI 2017: Advances in Artificial Intelligence

ISBN

978-3-319-67189-5
978-3-319-67190-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-67190-1_35

DOI

http://dx.doi.org/10.1007/978-3-319-67190-1_35

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091843668


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weiner", 
        "givenName": "Jochen", 
        "id": "sg:person.010026156061.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010026156061.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Diener", 
        "givenName": "Lorenz", 
        "id": "sg:person.011504263377.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011504263377.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stelter", 
        "givenName": "Simon", 
        "id": "sg:person.013014060061.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013014060061.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Externest", 
        "givenName": "Eike", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "K\u00fchl", 
        "givenName": "Sebastian", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herff", 
        "givenName": "Christian", 
        "id": "sg:person.0656704541.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656704541.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Putze", 
        "givenName": "Felix", 
        "id": "sg:person.013261140422.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013261140422.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schulze", 
        "givenName": "Timo", 
        "id": "sg:person.013062173261.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013062173261.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salous", 
        "givenName": "Mazen", 
        "id": "sg:person.014455134261.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014455134261.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Hui", 
        "id": "sg:person.012233722251.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012233722251.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "K\u00fcster", 
        "givenName": "Dennis", 
        "id": "sg:person.07514627471.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07514627471.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cognitive Systems Lab, University of Bremen, Bremen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7704.4", 
          "name": [
            "Cognitive Systems Lab, University of Bremen, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schultz", 
        "givenName": "Tanja", 
        "id": "sg:person.01155474741.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155474741.22"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2017-09-19", 
    "datePublishedReg": "2017-09-19", 
    "description": "Big data is a hot topic in research and industry. The availability of data has never been as high as it is now. Making good use of the data is a challenging research topic in all aspects of industry and society. The Bremen Big Data Challenge invites students to dig deep into big data. In this yearly event students are challenged to use the month of March to analyze a big dataset and use the knowledge they gained to answer a question. In this year\u2019s Bremen Big Data Challenge students were challenged to predict the load of the university cafeteria from the load of past years. The best of 24 teams predicted the load with a root mean squared error of 8.6 receipts issued in five minutes, with a fusion system based on the top 5 entries achieving an even better result of 8.28.", 
    "editor": [
      {
        "familyName": "Kern-Isberner", 
        "givenName": "Gabriele", 
        "type": "Person"
      }, 
      {
        "familyName": "F\u00fcrnkranz", 
        "givenName": "Johannes", 
        "type": "Person"
      }, 
      {
        "familyName": "Thimm", 
        "givenName": "Matthias", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-67190-1_35", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-67189-5", 
        "978-3-319-67190-1"
      ], 
      "name": "KI 2017: Advances in Artificial Intelligence", 
      "type": "Book"
    }, 
    "keywords": [
      "big data", 
      "big data challenges", 
      "challenging research topic", 
      "big datasets", 
      "data challenges", 
      "availability of data", 
      "root mean squared error", 
      "fusion system", 
      "mean squared error", 
      "research topic", 
      "hot topic", 
      "aspects of industry", 
      "squared error", 
      "better use", 
      "better results", 
      "dataset", 
      "topic", 
      "data", 
      "industry", 
      "events students", 
      "past year", 
      "challenges", 
      "load", 
      "error", 
      "system", 
      "team", 
      "availability", 
      "knowledge", 
      "research", 
      "aspects", 
      "students", 
      "use", 
      "results", 
      "entry", 
      "challenges students", 
      "questions", 
      "society", 
      "university cafeteria", 
      "cafeteria", 
      "years", 
      "receipt", 
      "minutes", 
      "months of March", 
      "months"
    ], 
    "name": "Bremen Big Data Challenge 2017: Predicting University Cafeteria Load", 
    "pagination": "380-386", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091843668"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-67190-1_35"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-67190-1_35", 
      "https://app.dimensions.ai/details/publication/pub.1091843668"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-08-04T17:19", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/chapter/chapter_360.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-67190-1_35"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67190-1_35'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67190-1_35'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67190-1_35'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67190-1_35'


 

This table displays all metadata directly associated to this object as RDF triples.

188 TRIPLES      22 PREDICATES      68 URIs      61 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-67190-1_35 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author Naabdfdb7f90145f997359fc3480fb4b4
4 schema:datePublished 2017-09-19
5 schema:datePublishedReg 2017-09-19
6 schema:description Big data is a hot topic in research and industry. The availability of data has never been as high as it is now. Making good use of the data is a challenging research topic in all aspects of industry and society. The Bremen Big Data Challenge invites students to dig deep into big data. In this yearly event students are challenged to use the month of March to analyze a big dataset and use the knowledge they gained to answer a question. In this year’s Bremen Big Data Challenge students were challenged to predict the load of the university cafeteria from the load of past years. The best of 24 teams predicted the load with a root mean squared error of 8.6 receipts issued in five minutes, with a fusion system based on the top 5 entries achieving an even better result of 8.28.
7 schema:editor Nce30377747164b05a971d2bfec1ef017
8 schema:genre chapter
9 schema:isAccessibleForFree false
10 schema:isPartOf N02ca8da21ebd440ea6e8f24dadca53de
11 schema:keywords aspects
12 aspects of industry
13 availability
14 availability of data
15 better results
16 better use
17 big data
18 big data challenges
19 big datasets
20 cafeteria
21 challenges
22 challenges students
23 challenging research topic
24 data
25 data challenges
26 dataset
27 entry
28 error
29 events students
30 fusion system
31 hot topic
32 industry
33 knowledge
34 load
35 mean squared error
36 minutes
37 months
38 months of March
39 past year
40 questions
41 receipt
42 research
43 research topic
44 results
45 root mean squared error
46 society
47 squared error
48 students
49 system
50 team
51 topic
52 university cafeteria
53 use
54 years
55 schema:name Bremen Big Data Challenge 2017: Predicting University Cafeteria Load
56 schema:pagination 380-386
57 schema:productId N3f7c68df5dc944a6bc62b0c728ed9861
58 N47245ec0e57b47fab46671034f786dbb
59 schema:publisher N7a51849a86524154b1cd1ea062e47031
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091843668
61 https://doi.org/10.1007/978-3-319-67190-1_35
62 schema:sdDatePublished 2022-08-04T17:19
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N41512ad5dff241cf99c4ed34edef2576
65 schema:url https://doi.org/10.1007/978-3-319-67190-1_35
66 sgo:license sg:explorer/license/
67 sgo:sdDataset chapters
68 rdf:type schema:Chapter
69 N02ca8da21ebd440ea6e8f24dadca53de schema:isbn 978-3-319-67189-5
70 978-3-319-67190-1
71 schema:name KI 2017: Advances in Artificial Intelligence
72 rdf:type schema:Book
73 N077c0d07a3504cbcb072374f2ee7dbfb rdf:first sg:person.012233722251.13
74 rdf:rest N757282c3787f42ba95f500f648ef54bf
75 N0dde12a6e75a4a51aedbed25113bd123 schema:familyName Thimm
76 schema:givenName Matthias
77 rdf:type schema:Person
78 N2af3fd8937f645e4bbb8c4e5b32a6788 rdf:first sg:person.0656704541.72
79 rdf:rest N7b5d2b9dc280487fa2503b4bb1d16401
80 N31968ae10c2d4d9b8f18e1e581eb1f67 rdf:first sg:person.011504263377.69
81 rdf:rest Nf25e3f072bfd46869c12030fa26d6200
82 N3ce4a26500004785b22f1b80649faf4c rdf:first N0dde12a6e75a4a51aedbed25113bd123
83 rdf:rest rdf:nil
84 N3f7c68df5dc944a6bc62b0c728ed9861 schema:name doi
85 schema:value 10.1007/978-3-319-67190-1_35
86 rdf:type schema:PropertyValue
87 N41512ad5dff241cf99c4ed34edef2576 schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 N47245ec0e57b47fab46671034f786dbb schema:name dimensions_id
90 schema:value pub.1091843668
91 rdf:type schema:PropertyValue
92 N52a992d2b1ac42ca95419d80319f910d schema:familyName Kern-Isberner
93 schema:givenName Gabriele
94 rdf:type schema:Person
95 N5c4a9dd24f6a4e86b7a0a68c8e305f0a rdf:first sg:person.01155474741.22
96 rdf:rest rdf:nil
97 N5ce068d2f188435bb951dc2f586d1849 rdf:first sg:person.013062173261.05
98 rdf:rest Nc83f8868f1fd47e099ce75f8ddafb790
99 N698054443172449da89cf2b1bc1a057c schema:affiliation grid-institutes:grid.7704.4
100 schema:familyName Kühl
101 schema:givenName Sebastian
102 rdf:type schema:Person
103 N757282c3787f42ba95f500f648ef54bf rdf:first sg:person.07514627471.03
104 rdf:rest N5c4a9dd24f6a4e86b7a0a68c8e305f0a
105 N7a51849a86524154b1cd1ea062e47031 schema:name Springer Nature
106 rdf:type schema:Organisation
107 N7b5d2b9dc280487fa2503b4bb1d16401 rdf:first sg:person.013261140422.28
108 rdf:rest N5ce068d2f188435bb951dc2f586d1849
109 N7becc8b685fe4d77be3e311f6b4cf151 rdf:first N7dad82a3825542c48bed3102df559505
110 rdf:rest N3ce4a26500004785b22f1b80649faf4c
111 N7dad82a3825542c48bed3102df559505 schema:familyName Fürnkranz
112 schema:givenName Johannes
113 rdf:type schema:Person
114 N969f38a90b0a40098c130061e0de7caa rdf:first Nd07f7b13871f4d7baa4f8fdc03112240
115 rdf:rest Nf35b21c7760c4d04916a9a6df9940296
116 Naabdfdb7f90145f997359fc3480fb4b4 rdf:first sg:person.010026156061.11
117 rdf:rest N31968ae10c2d4d9b8f18e1e581eb1f67
118 Nc83f8868f1fd47e099ce75f8ddafb790 rdf:first sg:person.014455134261.13
119 rdf:rest N077c0d07a3504cbcb072374f2ee7dbfb
120 Nce30377747164b05a971d2bfec1ef017 rdf:first N52a992d2b1ac42ca95419d80319f910d
121 rdf:rest N7becc8b685fe4d77be3e311f6b4cf151
122 Nd07f7b13871f4d7baa4f8fdc03112240 schema:affiliation grid-institutes:grid.7704.4
123 schema:familyName Externest
124 schema:givenName Eike
125 rdf:type schema:Person
126 Nf25e3f072bfd46869c12030fa26d6200 rdf:first sg:person.013014060061.96
127 rdf:rest N969f38a90b0a40098c130061e0de7caa
128 Nf35b21c7760c4d04916a9a6df9940296 rdf:first N698054443172449da89cf2b1bc1a057c
129 rdf:rest N2af3fd8937f645e4bbb8c4e5b32a6788
130 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
131 schema:name Information and Computing Sciences
132 rdf:type schema:DefinedTerm
133 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
134 schema:name Information Systems
135 rdf:type schema:DefinedTerm
136 sg:person.010026156061.11 schema:affiliation grid-institutes:grid.7704.4
137 schema:familyName Weiner
138 schema:givenName Jochen
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010026156061.11
140 rdf:type schema:Person
141 sg:person.011504263377.69 schema:affiliation grid-institutes:grid.7704.4
142 schema:familyName Diener
143 schema:givenName Lorenz
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011504263377.69
145 rdf:type schema:Person
146 sg:person.01155474741.22 schema:affiliation grid-institutes:grid.7704.4
147 schema:familyName Schultz
148 schema:givenName Tanja
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155474741.22
150 rdf:type schema:Person
151 sg:person.012233722251.13 schema:affiliation grid-institutes:grid.7704.4
152 schema:familyName Liu
153 schema:givenName Hui
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012233722251.13
155 rdf:type schema:Person
156 sg:person.013014060061.96 schema:affiliation grid-institutes:grid.7704.4
157 schema:familyName Stelter
158 schema:givenName Simon
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013014060061.96
160 rdf:type schema:Person
161 sg:person.013062173261.05 schema:affiliation grid-institutes:grid.7704.4
162 schema:familyName Schulze
163 schema:givenName Timo
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013062173261.05
165 rdf:type schema:Person
166 sg:person.013261140422.28 schema:affiliation grid-institutes:grid.7704.4
167 schema:familyName Putze
168 schema:givenName Felix
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013261140422.28
170 rdf:type schema:Person
171 sg:person.014455134261.13 schema:affiliation grid-institutes:grid.7704.4
172 schema:familyName Salous
173 schema:givenName Mazen
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014455134261.13
175 rdf:type schema:Person
176 sg:person.0656704541.72 schema:affiliation grid-institutes:grid.7704.4
177 schema:familyName Herff
178 schema:givenName Christian
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656704541.72
180 rdf:type schema:Person
181 sg:person.07514627471.03 schema:affiliation grid-institutes:grid.7704.4
182 schema:familyName Küster
183 schema:givenName Dennis
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07514627471.03
185 rdf:type schema:Person
186 grid-institutes:grid.7704.4 schema:alternateName Cognitive Systems Lab, University of Bremen, Bremen, Germany
187 schema:name Cognitive Systems Lab, University of Bremen, Bremen, Germany
188 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...