Tova Milo

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 91

Top Venues

Publications

Susan B. Davidson, Tova Milo, Kathy Razmadze, Gal Zeevi
ASQP-RL Demo: Learning Approximation Sets for Exploratory Queries. SIGMOD Conference Companion (2024)
Susan B. Davidson, Tova Milo, Kathy Razmadze, Gal Zeevi
Learning Approximation Sets for Exploratory Queries. CoRR (2024)
Tavor Lipman, Tova Milo, Amit Somech, Tomer Wolfson, Oz Zafar
LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. CoRR (2024)
Roni Copul, Nave Frost, Tova Milo, Kathy Razmadze
TabEE: Tabular Embeddings Explanations. Proc. ACM Manag. Data 2 (1) (2024)
Yael Einy, Tova Milo, Slava Novgorodov
Cost-Effective LLM Utilization for Machine Learning Tasks over Tabular Data. GUIDE-AI@SIGMOD (2024)
Tavor Lipman, Tova Milo, Amit Somech
ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning. SIGMOD Conference Companion (2023)
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech
Selecting Sub-tables for Data Exploration. ICDE (2023)
Susan B. Davidson, Shay Gershtein, Tova Milo, Slava Novgorodov, May Shoshan
Efficiently Archiving Photos under Storage Constraints. EDBT (2023)
Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo
SubTab: Data Exploration with Informative Sub-Tables. SIGMOD Conference (2022)
Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo
OREO: Detection of Cherry-picked Generalizations. Proc. VLDB Endow. 15 (12) (2022)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
FEDEX: An Explainability Framework for Data Exploration Steps. CoRR (2022)
Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo
Selecting Sub-tables for Data Exploration. CoRR (2022)
Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov
Automated Category Tree Construction in E-Commerce. SIGMOD Conference (2022)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
FEDEX: An Explainability Framework for Data Exploration Steps. Proc. VLDB Endow. 15 (13) (2022)
Susan B. Davidson, Shay Gershtein, Tova Milo, Slava Novgorodov
Disposal by Design. IEEE Data Eng. Bull. 45 (1) (2022)
Shay Gershtein, Uri Avron, Ido Guy, Tova Milo, Slava Novgorodov
On the Hardness of Category Tree Construction. ICDT (2022)
Aidan Hogan, Tova Milo
AMW 2019 Special Issue. Inf. Syst. 105 (2022)
Shay Gershtein, Tova Milo, Slava Novgorodov, Kathy Razmadze
Classifier Construction Under Budget Constraints. SIGMOD Conference (2022)
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) (2022)
Susan B. Davidson, Shay Gershtein, Tova Milo, Slava Novgorodov, May Shoshan
PHOcus: Efficiently Archiving Photos. Proc. VLDB Endow. 15 (12) (2022)
Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann
Improving Constrained Search Results By Data Melioration. ICDE (2021)
Shay Gershtein, Tova Milo, Brit Youngmann
Multi-Objective Influence Maximization. EDBT (2021)
Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo
On Detecting Cherry-picked Generalizations. Proc. VLDB Endow. 15 (1) (2021)
Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov
ConCaT: Construction of Category Trees from Search Queries in E-Commerce. ICDE (2021)
Sihem Amer-Yahia, Tova Milo, Brit Youngmann
SubDEx: Exploring Ratings in Subjective Databases. ICDE (2021)
Sihem Amer-Yahia, Tova Milo, Brit Youngmann
Exploring Ratings in Subjective Databases. SIGMOD Conference (2021)
Tova Milo, Slava Novgorodov, Kathy Razmadze
Fixing Wikipedia Interlinks Using Revision History Patterns. EDBT (2021)
Tova Milo
Getting Rid of Data (Abstract). SEBD (2020)
Nave Frost, Naama Boer, Daniel Deutch, Tova Milo
Personal Insights for Altering Decisions of Tree-based Ensembles over Time. Proc. VLDB Endow. 13 (6) (2020)
Tova Milo
Getting Rid of Data. ACM J. Data Inf. Qual. 12 (1) (2020)
Ori Bar El, Tova Milo, Amit Somech
Towards Autonomous, Hands-Free Data Exploration. CIDR (2020)
Amit Somech, Tova Milo, Oded Elbaz
Incremental Based Framework for Efficient Top-K Similarity Search in Interactive Data Analysis Sessions. EDBT (2020)
Shay Gershtein, Tova Milo, Slava Novgorodov
Inventory Reduction via Maximal Coverage in E-Commerce. EDBT (2020)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Somech
ExplainED: Explanations for EDA Notebooks. Proc. VLDB Endow. 13 (12) (2020)
Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Just in Time: Personal Temporal Insights for Altering Model Decisions. CoRR (2020)
Tova Milo, Amit Somech
Automating Exploratory Data Analysis via Machine Learning: An Overview. SIGMOD Conference (2020)
Kazutoshi Umemoto, Tova Milo, Masaru Kitsuregawa
Toward Recommendation for Upskilling: Modeling Skill Improvement and Item Difficulty in Action Sequences. ICDE (2020)
Tova Milo, Yuval Moskovitch, Brit Youngmann
Contribution Maximization in Probabilistic Datalog. ICDE (2020)
Ori Bar El, Tova Milo, Amit Somech
Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning. SIGMOD Conference (2020)
Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann
CONCIERGE: Improving Constrained Search Results by Data Melioration. Proc. VLDB Endow. 13 (12) (2020)
Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov
Minimization of Classifier Construction Cost for Search Queries. SIGMOD Conference (2020)
Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov
MC3: A System for Minimization of Classifier Construction Cost. SIGMOD Conference (2020)
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
Explaining Queries Over Web Tables to Non-experts. ICDE (2019)
Tova Milo, Yuval Moskovitch, Brit Youngmann
PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. CIKM (2019)
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) (2019)
Brit Youngmann, Tova Milo, Amit Somech
Boosting SimRank with Semantics. EDBT (2019)
Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
Declarative User Selection with Soft Constraints. CIKM (2019)
Shay Gershtein, Tova Milo, Slava Novgorodov
ReducE-Comm: Effective Inventory Reduction System for E-Commerce. CIKM (2019)
Amit Somech, Tova Milo, Chai Ozeri
Predicting "What is Interesting" by Mining Interactive-Data-Analysis Session Logs. EDBT (2019)
Stephan Goldberg, Tova Milo, Slava Novgorodov, Kathy Razmadze
WiClean: A System for Fixing Wikipedia Interlinks Using Revision History Patterns. Proc. VLDB Endow. 12 (12) (2019)
Eyal Dushkin, Shay Gershtein, Tova Milo, Slava Novgorodov
Query Driven Data Labeling with Experts: Why Pay Twice? EDBT (2019)
Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Just in Time: Personal Temporal Insights for Altering Model Decisions. ICDE (2019)
Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, Susan B. Davidson
ProvCite: Provenance-based Data Citation. Proc. VLDB Endow. 12 (7) (2019)
Ori Bar El, Tova Milo, Amit Somech
ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning. CIKM (2019)
Tova Milo, Amit Somech, Brit Youngmann
SimMeme: A Search Engine for Internet Memes. ICDE (2019)
Ahmad Assadi, Tova Milo, Slava Novgorodov
Cleaning Data with Constraints and Experts. WebDB (2018)
Laure Berti-Équille, Angela Bonifati, Tova Milo
Machine Learning to Data Management: A Round Trip. ICDE (2018)
Daniel Deutch, Yehonatan Ginzberg, Tova Milo
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX. CIKM (2018)
Tova Milo, Amit Somech
Deep Reinforcement-Learning Framework for Exploratory Data Analysis. aiDM@SIGMOD (2018)
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) (2018)
Eyal Dushkin, Tova Milo
Top-k Sorting Under Partial Order Information. SIGMOD Conference (2018)
Tova Milo
Data-Driven Crowdsourcing. DATA (2018)
Ariel Jarovsky, Tova Milo, Slava Novgorodov, Wang-Chiew Tan
Rule Sharing for Fraud Detection via Adaptation. ICDE (2018)
Tova Milo
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 41 (1) (2018)
Shay Gershtein, Tova Milo, Brit Youngmann, Gal Zeevi
IM Balanced: Influence Maximization Under Balance Constraints. CIKM (2018)
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
Explaining Queries over Web Tables to Non-Experts. CoRR (2018)
Ariel Jarovsky, Tova Milo, Slava Novgorodov, Wang-Chiew Tan
GOLDRUSH: Rule Sharing System for Fraud Detection. Proc. VLDB Endow. 11 (12) (2018)
Tova Milo, Slava Novgorodov, Wang-Chiew Tan
Interactive Rule Refinement for Fraud Detection. EDBT (2018)
Tova Milo, Amit Somech
Next-Step Suggestions for Modern Interactive Data Analysis Platforms. KDD (2018)
Tova Milo
The Smart Crowd - Learning from the Ones Who Know (Invited Talk). ICDT (2017)
Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart
Top-k Querying of Unknown Values under Order Constraints (Extended Version). CoRR (2017)
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 (2017)
Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart
Top-k Querying of Unknown Values under Order Constraints. ICDT (2017)
Tova Milo
7 Secrets That My Mother Didn't Tell Me. Proc. VLDB Endow. 10 (12) (2017)
Maya Ekron, Tova Milo, Brit Youngmann
SimMeme: Semantic-Based Meme Search. CIKM (2017)
Susan B. Davidson, Daniel Deutch, Tova Milo, Gianmaria Silvello
A Model for Fine-Grained Data Citation. CIDR (2017)
Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu
Answering Conjunctive Queries with Inequalities. Theory Comput. Syst. 61 (1) (2017)
Ahmad Assadi, Tova Milo, Slava Novgorodov
DANCE: Data Cleaning with Constraints and Experts. ICDE (2017)
Susan B. Davidson, Daniel Deutch, Tova Milo, Gianmaria Silvello
A Model for Fine-Grained Data Citation. SEBD (2017)
Susan B. Davidson, Peter Buneman, Daniel Deutch, Tova Milo, Gianmaria Silvello
Data Citation: A Computational Challenge. PODS (2017)
Marcelo Arenas, Richard Hull, Wim Martens, Tova Milo, Thomas Schwentick
Foundations of Data Management (Dagstuhl Perspectives Workshop 16151). Dagstuhl Reports 6 (4) (2016)
Tova Milo, Eyal Altshuler
An Efficient MapReduce Cube Algorithm for Varied DataDistributions. SIGMOD Conference (2016)
Eleanor Ainy, Pierre Bourhis, Susan B. Davidson, Daniel Deutch, Tova Milo
PROX: Approximated Summarization of Data Provenance. EDBT (2016)
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) (2016)
Benoît Groz, Ezra Levin, Isaac Meilijson, Tova Milo
Filtering With the Crowd: CrowdScreen Revisited. ICDT (2016)
Tova Milo
Technical Perspective: Enlisting the power of the crowd. Commun. ACM 59 (1) (2016)
Tova Milo, Amit Somech
REACT: Context-Sensitive Recommendations for Data Analysis. SIGMOD Conference (2016)
Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
December: A Declarative Tool for Crowd Member Selection. Proc. VLDB Endow. 9 (13) (2016)
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) (2016)
Tova Milo, Slava Novgorodov, Wang-Chiew Tan
Rudolf: Interactive Rule Refinement System for Fraud Detection. Proc. VLDB Endow. 9 (13) (2016)
Tova Milo
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 39 (4) (2016)
Moria Bergman, Tova Milo, Slava Novgorodov, Wang Chiew Tan
Query-Oriented Data Cleaning with Oracles. SIGMOD Conference (2015)
Benoît Groz, Tova Milo, Sudeepa Roy
On the Complexity of Evaluating Order Queries with the Crowd. IEEE Data Eng. Bull. 38 (3) (2015)
Yael Amsterdamer, Anna Kukliansky, Tova Milo
A Natural Language Interface for Querying General and Individual Knowledge. Proc. VLDB Endow. 8 (12) (2015)
Eleanor Ainy, Pierre Bourhis, Susan B. Davidson, Daniel Deutch, Tova Milo
Approximated Summarization of Data Provenance. CIKM (2015)
Lei Chen, Dongwon Lee, Tova Milo
Data-driven crowdsourcing: Management, mining, and applications. ICDE (2015)
Xiaocheng Huang, Zhuowei Bao, Susan B. Davidson, Tova Milo, Xiaojie Yuan
Answering regular path queries on workflow provenance. ICDE (2015)
Yael Amsterdamer, Anna Kukliansky, Tova Milo
CM: A Natural Language Interface to Crowd Mining. SIGMOD Conference (2015)
Benoît Groz, Tova Milo
Skyline Queries with Noisy Comparisons. PODS (2015)
Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu
Answering Conjunctive Queries with Inequalities. ICDT (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tova Milo