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ORCIDTova Milo
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- affiliation: Tel Aviv University, Israel
- award (2022): TCDE Impact Award
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2020 – today
- 2025
[c183]Tavor Lipman, Tova Milo, Amit Somech, Tomer Wolfson, Oz Zafar:
LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. EDBT 2025: 270-283- 2024
- [j85]Roni Copul
, Nave Frost, Tova Milo, Kathy Razmadze:
TabEE: Tabular Embeddings Explanations. Proc. ACM Manag. Data 2(1): 72:1-72:26 (2024) - [j84]Roni Copul, Nave Frost, Tova Milo, Kathy Razmadze:
Demonstrating TabEE: Tabular Embedding Explanations. Proc. VLDB Endow. 17(12): 4285-4288 (2024) - [c182]Yael Einy, Tova Milo, Slava Novgorodov:
Cost-Effective LLM Utilization for Machine Learning Tasks over Tabular Data. GUIDE-AI@SIGMOD 2024: 45-49 - [c181]Susan B. Davidson, Tova Milo, Kathy Razmadze, Gal Zeevi:
ASQP-RL Demo: Learning Approximation Sets for Exploratory Queries. SIGMOD Conference Companion 2024: 452-455 - [i16]Susan B. Davidson, Tova Milo, Kathy Razmadze, Gal Zeevi:
Learning Approximation Sets for Exploratory Queries. CoRR abs/2401.17059 (2024) - [i15]Tavor Lipman, Tova Milo, Amit Somech, Tomer Wolfson, Oz Zafar:
LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. CoRR abs/2406.05107 (2024) - 2023
- [c180]Susan B. Davidson, Shay Gershtein, Tova Milo, Slava Novgorodov, May Shoshan:
Efficiently Archiving Photos under Storage Constraints. EDBT 2023: 591-603 - [c179]Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech:
Selecting Sub-tables for Data Exploration. ICDE 2023: 2496-2509 - [c178]Tavor Lipman, Tova Milo, Amit Somech:
ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning. SIGMOD Conference Companion 2023: 167-170 - 2022
- [j83]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [j82]Susan B. Davidson, Shay Gershtein, Tova Milo, Slava Novgorodov:
Disposal by Design. IEEE Data Eng. Bull. 45(1): 10-20 (2022) - [j81]Aidan Hogan, Tova Milo:
AMW 2019 Special Issue. Inf. Syst. 105: 101663 (2022) - [j80]Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo:
OREO: Detection of Cherry-picked Generalizations. Proc. VLDB Endow. 15(12): 3570-3573 (2022) - [j79]Susan B. Davidson, Shay Gershtein, Tova Milo, Slava Novgorodov, May Shoshan:
PHOcus: Efficiently Archiving Photos. Proc. VLDB Endow. 15(12): 3630-3633 (2022) - [j78]Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech:
FEDEX: An Explainability Framework for Data Exploration Steps. Proc. VLDB Endow. 15(13): 3854-3868 (2022) - [c177]Shay Gershtein, Uri Avron, Ido Guy, Tova Milo, Slava Novgorodov:
On the Hardness of Category Tree Construction. ICDT 2022: 4:1-4:17 - [c176]Shay Gershtein, Tova Milo, Slava Novgorodov, Kathy Razmadze:
Classifier Construction Under Budget Constraints. SIGMOD Conference 2022: 1160-1174 - [c175]Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov:
Automated Category Tree Construction in E-Commerce. SIGMOD Conference 2022: 1770-1783 - [c174]Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo:
SubTab: Data Exploration with Informative Sub-Tables. SIGMOD Conference 2022: 2369-2372 - [i14]Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo:
Selecting Sub-tables for Data Exploration. CoRR abs/2203.02754 (2022) - [i13]Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech:
FEDEX: An Explainability Framework for Data Exploration Steps. CoRR abs/2209.06260 (2022) - 2021
- [j77]Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo:
On Detecting Cherry-picked Generalizations. Proc. VLDB Endow. 15(1): 59-71 (2021) - [c173]Tova Milo, Slava Novgorodov, Kathy Razmadze:
Fixing Wikipedia Interlinks Using Revision History Patterns. EDBT 2021: 49-60 - [c172]Shay Gershtein, Tova Milo, Brit Youngmann:
Multi-Objective Influence Maximization. EDBT 2021: 145-156 - [c171]Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann:
Improving Constrained Search Results By Data Melioration. ICDE 2021: 1667-1678 - [c170]Sihem Amer-Yahia, Tova Milo, Brit Youngmann:
SubDEx: Exploring Ratings in Subjective Databases. ICDE 2021: 2653-2656 - [c169]Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov:
ConCaT: Construction of Category Trees from Search Queries in E-Commerce. ICDE 2021: 2701-2704 - [c168]Sihem Amer-Yahia, Tova Milo, Brit Youngmann:
Exploring Ratings in Subjective Databases. SIGMOD Conference 2021: 62-75 - 2020
- [j76]Tova Milo:
Getting Rid of Data. ACM J. Data Inf. Qual. 12(1): 1:1-1:7 (2020) - [j75]Nave Frost, Naama Boer, Daniel Deutch, Tova Milo:
Personal Insights for Altering Decisions of Tree-based Ensembles over Time. Proc. VLDB Endow. 13(6): 798-811 (2020) - [j74]Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann:
CONCIERGE: Improving Constrained Search Results by Data Melioration. Proc. VLDB Endow. 13(12): 2865-2868 (2020) - [j73]Daniel Deutch, Amir Gilad, Tova Milo, Amit Somech:
ExplainED: Explanations for EDA Notebooks. Proc. VLDB Endow. 13(12): 2917-2920 (2020) - [c167]Ori Bar El, Tova Milo, Amit Somech:
Towards Autonomous, Hands-Free Data Exploration. CIDR 2020 - [c166]Amit Somech, Tova Milo, Oded Elbaz:
Incremental Based Framework for Efficient Top-K Similarity Search in Interactive Data Analysis Sessions. EDBT 2020: 97-108 - [c165]Shay Gershtein, Tova Milo, Slava Novgorodov:
Inventory Reduction via Maximal Coverage in E-Commerce. EDBT 2020: 522-533 - [c164]Kazutoshi Umemoto, Tova Milo, Masaru Kitsuregawa:
Toward Recommendation for Upskilling: Modeling Skill Improvement and Item Difficulty in Action Sequences. ICDE 2020: 169-180 - [c163]Tova Milo, Yuval Moskovitch, Brit Youngmann:
Contribution Maximization in Probabilistic Datalog. ICDE 2020: 817-828 - [c162]Tova Milo:
Getting Rid of Data (Abstract). SEBD 2020: v - [c161]Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov:
Minimization of Classifier Construction Cost for Search Queries. SIGMOD Conference 2020: 1351-1365 - [c160]Ori Bar El, Tova Milo, Amit Somech:
Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning. SIGMOD Conference 2020: 1527-1537 - [c159]Tova Milo, Amit Somech:
Automating Exploratory Data Analysis via Machine Learning: An Overview. SIGMOD Conference 2020: 2617-2622 - [c158]Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov:
MC3: A System for Minimization of Classifier Construction Cost. SIGMOD Conference 2020: 2725-2728 - [i12]Naama Boer, Daniel Deutch, Nave Frost, Tova Milo:
Just in Time: Personal Temporal Insights for Altering Model Decisions. CoRR abs/2007.04453 (2020)
2010 – 2019
- 2019
- [j72]Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, Susan B. Davidson:
ProvCite: Provenance-based Data Citation. Proc. VLDB Endow. 12(7): 738-751 (2019) - [j71]Stephan Goldberg, Tova Milo, Slava Novgorodov, Kathy Razmadze:
WiClean: A System for Fixing Wikipedia Interlinks Using Revision History Patterns. Proc. VLDB Endow. 12(12): 1846-1849 (2019) - [j70]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [c157]Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann:
Declarative User Selection with Soft Constraints. CIKM 2019: 931-940 - [c156]Tova Milo, Yuval Moskovitch, Brit Youngmann:
PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. CIKM 2019: 2865-2868 - [c155]Ori Bar El, Tova Milo, Amit Somech:
ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning. CIKM 2019: 2873-2876 - [c154]Shay Gershtein, Tova Milo, Slava Novgorodov:
ReducE-Comm: Effective Inventory Reduction System for E-Commerce. CIKM 2019: 2957-2960 - [c153]Brit Youngmann, Tova Milo, Amit Somech:
Boosting SimRank with Semantics. EDBT 2019: 37-48 - [c152]Amit Somech, Tova Milo, Chai Ozeri:
Predicting "What is Interesting" by Mining Interactive-Data-Analysis Session Logs. EDBT 2019: 456-467 - [c151]Eyal Dushkin, Shay Gershtein, Tova Milo, Slava Novgorodov:
Query Driven Data Labeling with Experts: Why Pay Twice? EDBT 2019: 698-701 - [c150]Tova Milo, Amit Somech, Brit Youngmann:
SimMeme: A Search Engine for Internet Memes. ICDE 2019: 974-985 - [c149]Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson:
Explaining Queries Over Web Tables to Non-experts. ICDE 2019: 1570-1573 - [c148]Naama Boer, Daniel Deutch, Nave Frost, Tova Milo:
Just in Time: Personal Temporal Insights for Altering Model Decisions. ICDE 2019: 1988-1991 - [e7]Aidan Hogan, Tova Milo:
Proceedings of the 13th Alberto Mendelzon International Workshop on Foundations of Data Management, Asunción, Paraguay, June 3-7, 2019. CEUR Workshop Proceedings 2369, CEUR-WS.org 2019 [contents] - 2018
- [j69]Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi:
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151). Dagstuhl Manifestos 7(1): 1-29 (2018) - [j68]Tova Milo:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 41(1): 2 (2018) - [j67]Ariel Jarovsky, Tova Milo, Slava Novgorodov, Wang-Chiew Tan:
GOLDRUSH: Rule Sharing System for Fraud Detection. Proc. VLDB Endow. 11(12): 1998-2001 (2018) - [c147]Shay Gershtein, Tova Milo, Brit Youngmann, Gal Zeevi:
IM Balanced: Influence Maximization Under Balance Constraints. CIKM 2018: 1919-1922 - [c146]Daniel Deutch, Yehonatan Ginzberg, Tova Milo:
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX. CIKM 2018: 1935-1938 - [c145]Tova Milo:
Data-Driven Crowdsourcing. DATA 2018: 7 - [c144]Tova Milo, Slava Novgorodov, Wang-Chiew Tan:
Interactive Rule Refinement for Fraud Detection. EDBT 2018: 265-276 - [c143]Ariel Jarovsky, Tova Milo, Slava Novgorodov, Wang-Chiew Tan:
Rule Sharing for Fraud Detection via Adaptation. ICDE 2018: 125-136 - [c142]Laure Berti-Équille, Angela Bonifati, Tova Milo:
Machine Learning to Data Management: A Round Trip. ICDE 2018: 1735-1738 - [c141]Tova Milo, Amit Somech:
Next-Step Suggestions for Modern Interactive Data Analysis Platforms. KDD 2018: 576-585 - [c140]Tova Milo, Amit Somech:
Deep Reinforcement-Learning Framework for Exploratory Data Analysis. aiDM@SIGMOD 2018: 4:1-4:4 - [c139]Eyal Dushkin, Tova Milo:
Top-k Sorting Under Partial Order Information. SIGMOD Conference 2018: 1007-1019 - [c138]Ahmad Assadi, Tova Milo, Slava Novgorodov:
Cleaning Data with Constraints and Experts. WebDB 2018: 1:1-1:6 - [r3]Serge Abiteboul, Omar Benjelloun, Tova Milo:
Active XML. Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Yael Amsterdamer, Tova Milo:
Crowd Mining and Analysis. Encyclopedia of Database Systems (2nd ed.) 2018 - [i11]Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson:
Explaining Queries over Web Tables to Non-Experts. CoRR abs/1808.04614 (2018) - 2017
- [j66]Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu:
Answering Conjunctive Queries with Inequalities. Theory Comput. Syst. 61(1): 2-30 (2017) - [j65]Tova Milo:
7 Secrets That My Mother Didn't Tell Me. Proc. VLDB Endow. 10(12): 2020 (2017) - [c137]Susan B. Davidson, Daniel Deutch, Tova Milo, Gianmaria Silvello:
A Model for Fine-Grained Data Citation. CIDR 2017 - [c136]Maya Ekron, Tova Milo, Brit Youngmann:
SimMeme: Semantic-Based Meme Search. CIKM 2017: 2455-2458 - [c135]Ahmad Assadi, Tova Milo, Slava Novgorodov:
DANCE: Data Cleaning with Constraints and Experts. ICDE 2017: 1409-1410 - [c134]Tova Milo:
The Smart Crowd - Learning from the Ones Who Know (Invited Talk). ICDT 2017: 3:1-3:1 - [c133]Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart:
Top-k Querying of Unknown Values under Order Constraints. ICDT 2017: 5:1-5:18 - [c132]Susan B. Davidson, Peter Buneman, Daniel Deutch, Tova Milo, Gianmaria Silvello:
Data Citation: A Computational Challenge. PODS 2017: 1-4 - [c131]Susan B. Davidson, Daniel Deutch, Tova Milo, Gianmaria Silvello:
A Model for Fine-Grained Data Citation. SEBD 2017: 17 - [i10]Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart:
Top-k Querying of Unknown Values under Order Constraints (Extended Version). CoRR abs/1701.02634 (2017) - [i9]Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi:
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151). CoRR abs/1701.09007 (2017) - 2016
- [j64]Tova Milo:
Technical Perspective: Enlisting the power of the crowd. Commun. ACM 59(1): 117 (2016) - [j63]Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom:
The Beckman report on database research. Commun. ACM 59(2): 92-99 (2016) - [j62]Tova Milo:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 39(4): 2 (2016) - [j61]Tova Milo, Slava Novgorodov, Wang-Chiew Tan:
Rudolf: Interactive Rule Refinement System for Fraud Detection. Proc. VLDB Endow. 9(13): 1465-1468 (2016) - [j60]Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann:
December: A Declarative Tool for Crowd Member Selection. Proc. VLDB Endow. 9(13): 1485-1488 (2016) - [j59]Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi:
Research Directions for Principles of Data Management (Abridged). SIGMOD Rec. 45(4): 5-17 (2016) - [c130]Eleanor Ainy, Pierre Bourhis, Susan B. Davidson, Daniel Deutch, Tova Milo:
PROX: Approximated Summarization of Data Provenance. EDBT 2016: 620-623 - [c129]Benoît Groz, Ezra Levin, Isaac Meilijson, Tova Milo:
Filtering With the Crowd: CrowdScreen Revisited. ICDT 2016: 12:1-12:18 - [c128]Tova Milo, Eyal Altshuler:
An Efficient MapReduce Cube Algorithm for Varied DataDistributions. SIGMOD Conference 2016: 1151-1165 - [c127]Tova Milo, Amit Somech:
REACT: Context-Sensitive Recommendations for Data Analysis. SIGMOD Conference 2016: 2137-2140 - [e6]Tova Milo, Wang-Chiew Tan:
Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2016, San Francisco, CA, USA, June 26 - July 01, 2016. ACM 2016, ISBN 978-1-4503-4191-2 [contents] - [i8]Marcelo Arenas, Richard Hull, Wim Martens, Tova Milo, Thomas Schwentick:
Foundations of Data Management (Dagstuhl Perspectives Workshop 16151). Dagstuhl Reports 6(4): 39-56 (2016) - 2015
- [j58]Benoît Groz, Tova Milo, Sudeepa Roy:
On the Complexity of Evaluating Order Queries with the Crowd. IEEE Data Eng. Bull. 38(3): 44-58 (2015) - [j57]Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu:
SampleClean: Fast and Reliable Analytics on Dirty Data. IEEE Data Eng. Bull. 38(3): 59-75 (2015) - [j56]Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart:
Optimal Probabilistic Generation of XML Documents. Theory Comput. Syst. 57(4): 806-842 (2015) - [j55]Yael Amsterdamer, Anna Kukliansky, Tova Milo:
A Natural Language Interface for Querying General and Individual Knowledge. Proc. VLDB Endow. 8(12): 1430-1441 (2015) - [j54]Moria Bergman, Tova Milo, Slava Novgorodov, Wang-Chiew Tan:
QOCO: A Query Oriented Data Cleaning System with Oracles. Proc. VLDB Endow. 8(12): 1900-1903 (2015) - [c126]Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech:
Managing General and Individual Knowledge in Crowd Mining Applications. CIDR 2015 - [c125]Eleanor Ainy, Pierre Bourhis, Susan B. Davidson, Daniel Deutch, Tova Milo:
Approximated Summarization of Data Provenance. CIKM 2015: 483-492 - [c124]Matan Laadan, Tova Milo:
Dismantling Complicated Query Attributes with Crowd. EDBT 2015: 409-420 - [c123]Xiaocheng Huang, Zhuowei Bao, Susan B. Davidson, Tova Milo, Xiaojie Yuan:
Answering regular path queries on workflow provenance. ICDE 2015: 375-386 - [c122]Lei Chen, Dongwon Lee, Tova Milo:
Data-driven crowdsourcing: Management, mining, and applications. ICDE 2015: 1527-1529 - [c121]Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu:
Answering Conjunctive Queries with Inequalities. ICDT 2015: 76-93 - [c120]Benoît Groz, Tova Milo:
Skyline Queries with Noisy Comparisons. PODS 2015: 185-198 - [c119]Tova Milo:
From Good Research to Good Papers: A Personal Journey. SIGMOD PhD Symposium 2015: 1 - [c118]Moria Bergman, Tova Milo, Slava Novgorodov, Wang Chiew Tan:
Query-Oriented Data Cleaning with Oracles. SIGMOD Conference 2015: 1199-1214 - [c117]Yael Amsterdamer, Anna Kukliansky, Tova Milo:
NL2CM: A Natural Language Interface to Crowd Mining. SIGMOD Conference 2015: 1433-1438 - [e5]Tova Milo, Diego Calvanese:
Proceedings of the 34th ACM Symposium on Principles of Database Systems, PODS 2015, Melbourne, Victoria, Australia, May 31 - June 4, 2015. ACM 2015, ISBN 978-1-4503-2757-2 [contents] - 2014
- [j53]Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech:
Ontology Assisted Crowd Mining. Proc. VLDB Endow. 7(13): 1597-1600 (2014) - [j52]Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom:
The Beckman Report on Database Research. SIGMOD Rec. 43(3): 61-70 (2014) - [j51]Yael Amsterdamer, Tova Milo:
Foundations of Crowd Data Sourcing. SIGMOD Rec. 43(4): 5-14 (2014) - [j50]Susan B. Davidson, Sanjeev Khanna, Tova Milo, Sudeepa Roy:
Top-k and Clustering with Noisy Comparisons. ACM Trans. Database Syst. 39(4): 35:1-35:39 (2014) - [c116]Antoine Amarilli, Yael Amsterdamer, Tova Milo:
Uncertainty in Crowd Data Sourcing Under Structural Constraints. DASFAA Workshops 2014: 351-359 - [c115]Tova Milo:
Mining the Crowd. EGC 2014: 7-8 - [c114]Antoine Amarilli, Yael Amsterdamer, Tova Milo:
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies. ICDT 2014: 15-25 - [c113]