Category 1:
Large-Scale Data Analytics using Hadoop and Map-Reduce Framework
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Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh: Redoop\ Infrastructure for Recurring Big Data Queries. PVLDB 7(13): 1589-1592 (2014)
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Chuan Lei, Elke Rundensteiner and Mohamed Eltabakh,
Redoop: Supporting Recurring Queries in Hadoop,
EDBT'2014. pp. 25-36.
Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh,
Shared Execution of Recurring Workloads in MapReduce,
PVLDB Proceedings, Volume 8, Issue 7 (2015).
The 41st International Conference
on Very Large Data Bases, August 31st - September 4th, 2015, Kohala
Coast, Hawaii.
- B. Li, E. Mazur, Y. Diao, A. McGregor, and P. J.
Shenoy. A platform for scalable one-pass analytics using mapreduce. In
SIGMOD, pages 985–996, 2011.
- H. Park, R. Ikeda, and J. Widom. Ramp: A system for
capturing and tracing provenance in mapreduce workflows. In VLDB.
Stanford InfoLab, August 2011.
- T. Condie, N. Conway, P. Alvaro, J. M. Hellerstein,
K. Elmeleegy, and R. Sears. Mapreduce online. In NSDI, pages 313–328,
2010.
- V. Kumar, H. Andrade, B. Gedik, and K.-L. Wu.
Deduce: at the intersection of mapreduce and stream processing. In
Proceedings of the 13th International Conference on Extending Database
Technology, EDBT ’10, pages 657–662, New York, NY, USA, 2010. ACM.
- A. Thusoo, R. Murthy, J. S. Sarma, Z. Shao, N. Jain,
P. Chakka, S. Anthony, H. Liu, and N. Zhang. Hive - a petabyte scale
data warehousing using hadoop. In ICDE, 2010.
- D. J. Abadi. Tradeoffs between parallel database
systems, hadoop, and hadoopdb as platforms for petabyte-scale analysis.
In SSDBM, pages 1–3, 2010.
- S. Blanas, J. M. Patel, V. Ercegovac, J. Rao, E. J.
Shekita, and Y. Tian. A comparison of join algorithms for log
processing in mapreduce. In SIGMOD Conference, pages 975–986, 2010.
- J. Dittrich, J.-A. Quiane?-Ruiz, A. Jindal, Y.
Kargin, V. Setty, and J. Schad. Hadoop++: Making a yellow elephant run
like a cheetah (without it even noticing). In VLDB, volume 3, pages
518–529, 2010.
- A.Thusoo,J.S.Sarma,N.Jain,Z.Shao,P.Chakka,S.Anthony,H.Liu,P.Wyckoff,andR.Murthy.Hive
- A Warehousing Solution Over a Map-Reduce Framework. PVLDB,
2(2):1626–1629, 2009.
- A. Abouzeid, K. Bajda-Pawlikowski, and A. R. Daniel
Abadi, Avi Silberschatz. HadoopDB: An Ar- chitectural Hybrid of
MapReduce and DBMS Technologies for Analytical Workloads. In VLDB,
pages 922–933, 2009.
- E. Friedman, P. Pawlowski, and J. Cieslewicz.
SQL/MapReduce: a practical approach to self-describing, polymorphic,
and parallelizable user-defined functions. Proc. VLDB Endow.,
2(2):1402–1413, 2009.
- A. Gates, O. Natkovich, S. Chopra, P. Kamath, S.
Narayanam, C. Olston, B. Reed, S. Srinivasan, and U. Srivastava.
Building a highlevel dataflow system on top of mapreduce: The pig
experience. PVLDB, 2(2):1414–1425, 2009.
- C. Olston, B. Reed, U. Srivastava, R. Kumar, and A.
Tomkins. Pig Latin: A Not-So-Foreign Language for Data Processing. In
SIGMOD, pages 1099–1110, 2008.
- H. chih Yang, A. Dasdan, R.-L. Hsiao, and D. S.
Parker. Map-reduce-merge: Simplified relational data processing on
large clusters. In SIGMOD, pages 1029–1040, 2007.
- J. Dean and S. Ghemawat. MapReduce: Simplified Data
Processing on Large Clusters. In OSDI, pages 137–150, 2004.
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Category 2:
Cloud and Distributed Computing
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- Umar
Farooq Minhas, Shriram Rajagopalan, Brendan Cully, Ashraf Aboulnaga,
Kenneth Salem, and Andrew Warfield. RemusDB: Transparent High
Availability for Database Systems. Proceedings of the VLDB Endowment
(PVLDB), 2011.
- David
J. DeWitt, Eric Robinson, Srinath Shankar, Erik Paulson, Jeffrey
Naughton, Andrew Krioukov, and Joshua Royalty. Clustera: An Integrated
Computation and Data Management System.
- Parag
Agrawal, Daniel Kifer, and Christopher Olston. Scheduling Shared Scans
of Large Data Files. VLDB 2008.
- Christopher
Olston, Benjamin Reed, Adam Silberstein, and Utkarsh Srivastava.
Automatic Optimization of Parallel Dataflow Programs. USENIX Annual
Conference 2008.
- Lei
Chen, Christopher Olston, and Raghu Ramakrishnan. Parallel Evaluation
of Composite Aggregate Queries. ICDE 2008.
- Matthias
Brantner, Daniela Florescu, David A. Graf, Donald Kossmann, and Tim
Kraska. Building a Database on S3. SIGMOD 2008.
- Adam
Silberstein, Brian F. Cooper, Utkarsh Srivastava, Erik Vee, Ramana
Yerneni, and Raghu Ramakrishnan. Efficient Bulk Insertion Into a
Distributed Ordered Table. SIGMOD 2008.
- Eric
Robinson and David J. DeWitt. Turning Cluster Management into Data
Management; A System Overview. CIDR 2007.
- Paul
Barham, Boris Dragovic, Keir Fraser, Steven Hand, Tim Harris, Alex Ho,
Rolf Neugebauery, Ian Pratt, and Andrew Warfield. Xen and the Art of
Virtualization.
- Khuzaima
Daudjee and Kenneth Salem. Lazy Database Replication with Snapshot
Isolation. VLDB 2006.
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Category 3:
Parallel and Distributed Databases
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- Book: Hector
Garcia-Molina, Jeffrey D. Ullman and Jennifer D. Widom, Database
Systems: The Complete Book
- Book: Tamer Ozsu,Patrick Valduriez, Principles of
Distributed Database Systems
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Category 4:
Scientific Data Management
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- ArrayStore:
A Storage Manager for Complex Parallel Array Processing, Emad Soroush,
Magdalena Balazinska, and Daniel Wang. SIGMOD'11, June 12-16, 2011,
Athens, Greece.
- Aida
Gandara, George Chin, Paulo Pinheiro Da Silva, Chandrika
Sivaramakrishnan, Signe White and Terence Critchlow, Knowledge
Annotations in Scientific Workflows: An Implementation in Kepler, SSDBM
2011
- Overview
of SciDB, Large Scale Array Storage, Processing and Analysis, The SciDB
Development team, SIGMOD'10, June 6-11, 2010, Indianapolis, Indiana, USA
- Shen-Shyang
Ho, Wenqing Tang, W. Timothy Liu, Markus Schneider. A Frame- work for
Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events,
SSDBM 2010
- Arnab
Bhattacharya, Abhishek Bhowmick, Ambuj K. Singh. Finding Top-k Similar
Pairs of Objects Annotated with Terms from an Ontology, SSDBM 2010
- David
Koop, Emanuele Santos, Bela Bauer, Matthias Troyer, Juliana Freire, Cla
́udio T. Silva. Bridging Workflow and Data Provenance using Strong
Links, SSDBM 2010
- Anish
Das Sarma, Martin Theobald, Jennifer Widom. LIVE: A Lineage-Supported
Versioned DBMS, SSDBM 2010
- M.
Stonebraker and et. al. Requirements for science data bases and scidb.
In CIDR Perspectives, 2009.
- Mohamed
Y. Eltabakh, Mourad Ouzzani, Walid G. Aref: bdbms - A Database
Management System for Biological Data. CIDR 2007: 196-206
- J.
Widom. Trio: A system for integrated management of data, accuracy, and
lineage. CIDR, pages 262–276, 2005.
- P.
Buneman, A. Chapman, and J. Cheney. Provenance management in curated
databases. In SIGMOD, pages 539–550, 2006.
- Book:
Scientific Data Management: Challenges, Technology, and Deployment
(Chapman & Hall/CRC Computational Science)
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Category 5: Data
Integration
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- Hazem
Elmeleegy, Ahmed K. Elmagarmid, Jaewoo Lee: Leveraging query logs for
schema mapping generation in U-MAP. SIGMOD 2011: 121-132
- Mohamed
Yakout, Ahmed K. Elmagarmid, Hazem Elmeleegy, Mourad Ouzzani, Alan Qi:
Behavior Based Record Linkage. PVLDB 3(1): 439-448 (2010)
- L. Cabibbo. On keys,
foreign keys and nullable attributes in relational mapping systems. In
EDBT, pages 263–274, 2009.
- G. Gottlob, R.
Pichler, and V. Savenkov. Normalization and optimization of schema
mappings. PVLDB, 2(1):1102–1113, 2009.
- G. Mecca, P. Papotti,
and S. Raunich. Core schema mappings. In SIGMOD, 2009.
- Hazem Elmeleegy,
Mourad Ouzzani, Ahmed K. Elmagarmid: Usage-Based Schema Matching. ICDE
2008: 20-29
- Y.
An, A. Borgida, R. J. Miller, and J. Mylopoulos. A semantic approach to
discovering schema mapping expressions. In ICDE, 2007.
- P. Bohannon, E.
Elnahrawy, W. Fan, and M. Flaster. Putting context into schema
matching. In VLDB, 2006.
- C. Yu and L.
Popa. Semantic adaptation of schema mappings when schemas evolve. In
VLDB, 2005.
- R. J. Miller, L. M.
Haas, and M. A. Herna ́ndez. Schema mapping as query discovery. In
VLDB, 2000.
- E. Rahm and P. A.
Bernstein. A survey of approaches to automatic schema matching. VLDB
J., 10(4):334–350, 2001.
- P. Bernstein, A.
Halevy, and R. Pottinger. A vision for management of complex models.
SIGMOD Record, 29(4):55–63, 2000.
- Book: Hector
Garcia-Molina, Jeffrey D. Ullman and Jennifer D. Widom, Database
Systems: The Complete Book
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Category 6: Other
Topics (Streaming, Active Databases, Object-Relational Data Model, Semi-Structured
XML Data Model, Keyword Search, OLAP)
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Lei Cao and E. Rundensteiner,
High Performance Stream Query Processing With Correlation-Aware Partitioning,
The 40th International Conference on Very Large Data Bases (VLDB),
PVLDB Volume 7, No. 4, December 2013.
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Chuan Lei, Elke A. Rundensteiner, and Joshua Guttman,
Robust Stream Query Processing, ICDE 2013.
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Di Wang, E. Rundensteiner, and R. Ellison,
Active Complex Event Processing, VLDB, Sept 2011.
-
Di Wang, E. Rundensteiner, and R. Ellison,
Active Complex Event Processing, VLDB, Sept 2011.
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Caitlin Kuhlman, Yizhou Yan, Lei Cao, and Elke Rundensteiner,
Pivot-based Distributed K-Nearest Neighbor Mining,
European Conference on Machine Learning, Principles and Practice of Knowledge D
iscovery (ECML-PKDD) 2017,
Research Track, Springer LNCS,
-
Yizhou Yan, Lei Cao, Caitlin Kuhlman and Elke Rundensteiner,
Distributed Local Outlier Detection in Big Data,
ACM KDD, Research Track, 2017.
-
Di Wang, E. Rundensteiner, and R. Ellison,
Active Complex Event Processing, VLDB, Sept 2011.
-
Hanson,
E.N., Carnes, C., Huang, L., Konyala, M., Noronha, L., Parthasarathy,
S., Park, J.B. and Vernon, A., Scalable Trigger Processing. in
International Conference on Data Engineering (ICDE), (1999), 266-275.
- J.
Widom and S. Ceri, editors. Active Database Systems: Triggers and Rules
For Advanced Database Processing. Morgan Kaufmann, 1996.
- A.
Aiken, J. Widom, and J. Hellerstein. Behavior of database production
rules: Termination, confluence, and observable determinism. In SIGMOD,
pages 59–68, 1992.
- Schreier,
U., Pirahesh, H., Agrawal, R. and Mohan, C., Alert: An
Architecture for Transforming a Passive DBMS into an Active DBMS. in
International Confer ence on Very Large Databases (VLDB), (1991),
469-478.
- U.
Dayal. Active database management systems. SIGMOD Rec., 18(3):150–169,
1989.
- Guoliang
Li , Jianhua Feng , Xiaofang Zhou , Jianyong Wang, Providing built-in
keyword search capabilities in RDBMS, The VLDB Journal — The
International Journal on Very Large Data Bases, v.20 n.1, p.1-19,
February 2011
- Akanksha
Baid , Ian Rae , Jiexing Li , AnHai Doan , Jeffrey Naughton, Toward
scalable keyword search over relational data, Proceedings of the VLDB
Endowment, v.3 n.1-2, September 2010
- Joel
Coffman , Alfred C. Weaver, A framework for evaluating database keyword
search strategies, Proceedings of the 19th ACM international conference
on Information and knowledge management, October 26-30, 2010, Toronto,
ON, Canada
- Sonia
Bergamaschi , Elton Domnori , Francesco Guerra , Raquel Trillo Lado ,
Yannis Velegrakis, Keyword search over relational databases: a metadata
approach, Proceedings of the 2011 international conference on
Management of data, June 12-16, 2011, Athens, Greece
- Lu
Qin, Jeffrey Xu Yu, Lijun Chang, Keyword search in
databases: the power of RDBMS, SIGMOD 2009
- S.
Chaudhuri, R. Ramakrishnan, and G. Weikum. Integrating db and ir
technologies: What is the sound of one hand clapping? In Proc. of CIDR,
2005.
- DBXplorer:
A System for Keyword-Based Search over Relational Databases,
Proceedings of the 18th International Conference on Data Engineering,
p.5, February 26-March 01, 2002
- Vagelis
Hristidis , Yannis Papakonstantinou, Discover: keyword search in
relational databases, Proceedings of the 28th international conference
on Very Large Data Bases, p.670-681, August 20-23, 2002, Hong Kong,
China
- Book:
Hector Garcia-Molina, Jeffrey D. Ullman and Jennifer D. Widom, Database
Systems: The Complete Book
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