{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T06:58:40Z","timestamp":1775199520551,"version":"3.50.1"},"reference-count":14,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2015,8]]},"abstract":"<jats:p>\n            Machine learning (ML) and advanced statistics are important tools for drawing insights from large datasets. However, these techniques often require human intervention to steer computation towards meaningful results. In this demo, we present V\n            <jats:sc>izdom<\/jats:sc>\n            , a new system for interactive analytics through pen and touch. V\n            <jats:sc>izdom<\/jats:sc>\n            's frontend allows users to visually compose complex workflows of ML and statistics operators on an interactive whiteboard, and the back-end leverages recent advances in workflow compilation techniques to run these computations at interactive speeds. Additionally, we are exploring approximation techniques for quickly visualizing partial results that incrementally refine over time. This demo will show V\n            <jats:sc>izdom<\/jats:sc>\n            's capabilities by allowing users to interactively build complex analytics workflows using real-world datasets.\n          <\/jats:p>","DOI":"10.14778\/2824032.2824127","type":"journal-article","created":{"date-parts":[[2015,9,16]],"date-time":"2015-09-16T12:18:17Z","timestamp":1442405897000},"page":"2024-2027","source":"Crossref","is-referenced-by-count":64,"title":["Vizdom"],"prefix":"10.14778","volume":"8","author":[{"given":"Andrew","family":"Crotty","sequence":"first","affiliation":[{"name":"Brown University"}]},{"given":"Alex","family":"Galakatos","sequence":"additional","affiliation":[{"name":"Brown University"}]},{"given":"Emanuel","family":"Zgraggen","sequence":"additional","affiliation":[{"name":"Brown University"}]},{"given":"Carsten","family":"Binnig","sequence":"additional","affiliation":[{"name":"Brown University"}]},{"given":"Tim","family":"Kraska","sequence":"additional","affiliation":[{"name":"Brown University"}]}],"member":"320","published-online":{"date-parts":[[2015,8]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Apache Hadoop. http:\/\/hadoop.apache.org.  Apache Hadoop. http:\/\/hadoop.apache.org."},{"key":"e_1_2_1_2_1","unstructured":"Apache Mahout. http:\/\/mahout.apache.org.  Apache Mahout. http:\/\/mahout.apache.org."},{"key":"e_1_2_1_3_1","unstructured":"MIMIC II Dataset. http:\/\/mimic.physionet.org.  MIMIC II Dataset. http:\/\/mimic.physionet.org."},{"key":"e_1_2_1_4_1","unstructured":"RapidMiner. http:\/\/rapidminer.com.  RapidMiner. http:\/\/rapidminer.com."},{"key":"e_1_2_1_5_1","doi-asserted-by":"crossref","unstructured":"D. Antenucci M. Cafarella M. Levenstein C. R\u00e9 and M. D. Shapiro. Using Social Media to Measure Labor Market Flows. Technical report 2014.  D. Antenucci M. Cafarella M. Levenstein C. R\u00e9 and M. D. Shapiro. Using Social Media to Measure Labor Market Flows. Technical report 2014.","DOI":"10.3386\/w20010"},{"key":"e_1_2_1_6_1","volume-title":"Small Clusters. In CIDR","author":"Crotty A.","year":"2015"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/2367502.2367510"},{"key":"e_1_2_1_9_1","volume-title":"CIDR","author":"Kraska T.","year":"2013"},{"key":"e_1_2_1_10_1","author":"Liu Z.","year":"2014","journal-title":"IEEE Trans. Vis. Comput. Graph., pages 2122--2131"},{"key":"e_1_2_1_11_1","first-page":"1187","volume-title":"ICDM","author":"Sparks E. R.","year":"2013"},{"key":"e_1_2_1_12_1","first-page":"15","volume-title":"NSDI","author":"Zaharia M.","year":"2012"},{"key":"e_1_2_1_13_1","author":"Zgraggen E.","year":"2014","journal-title":"PanoramicData: Data Analysis through Pen & Touch. IEEE Trans. Vis. Comput. Graph., pages 2112--2121"},{"key":"e_1_2_1_14_1","first-page":"265","volume-title":"SIGMOD","author":"Zhang C.","year":"2014"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/2824032.2824127","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T10:04:10Z","timestamp":1672221850000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/2824032.2824127"}},"subtitle":["interactive analytics through pen and touch"],"short-title":[],"issued":{"date-parts":[[2015,8]]},"references-count":14,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2015,8]]}},"alternative-id":["10.14778\/2824032.2824127"],"URL":"https:\/\/doi.org\/10.14778\/2824032.2824127","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2015,8]]}}}