default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEncyclopedia of Big Data Technologies 2019
- Sherif Sakr, Albert Y. Zomaya:
Encyclopedia of Big Data Technologies. Springer 2019, ISBN 978-3-319-63962-8
(...)
- Paolo Boldi, Sebastiano Vigna:
(Web/Social) Graph Compression.
A
- Henrique Moniz, João Leitão
, Ricardo J. Dias, Johannes Gehrke, Nuno M. Preguiça, Rodrigo Rodrigues:
Achieving Low Latency Transactions for Geo-replicated Storage with Blotter. - Ilia Petrov, Tobias Vinçon, Andreas Koch, Julian Oppermann, Sergey Hardock, Christian Riegger:
Active Storage. - Ricard Gavaldà:
Adaptive Windowing. - Konstantinos Karanasos, Arun Suresh, Chris Douglas:
Advancements in YARN Resource Manager. - Todor Ivanov, Roberto V. Zicari:
Analytics Benchmarks. - Ananth Gundabattula, Thomas Weise:
Apache Apex. - Fabian Hueske, Timo Walther:
Apache Flink. - Matthias J. Sax:
Apache Kafka. - Andrew Musselman:
Apache Mahout. - Martin Kleppmann:
Apache Samza. - Alexandre Aa Silva Veith, Marcos Dias de Assunção:
Apache Spark. - Matthias Boehm:
Apache SystemML. - Lance A. Waller:
Applications of Big Spatial Data: Health. - Do Le Quoc, Ruichuan Chen, Pramod Bhatotia, Christof Fetzer, Volker Hilt, Thorsten Strufe:
Approximate Computing for Stream Analytics. - Erik G. Hoel:
Architectures. - Dirk Fahland:
Artifact-Centric Process Mining. - Francois Raab:
Auditing. - Sander J. J. Leemans:
Automated Process Discovery. - Jeff Z. Pan, Jianfeng Du:
Automated Reasoning.
B
- Nicolas Michael:
Benchmark Harness. - Yongrui Qin, Quan Z. Sheng:
Big Data Analysis and IoT. - Eugenio Cesario:
Big Data Analysis for Smart City Applications. - Robert M. Goerge:
Big Data Analysis for Social Good. - Mario Cannataro:
Big Data Analysis in Bioinformatics. - Martin Hahmann:
Big Data Analysis Techniques. - Amelie Chi Zhou, Bingsheng He:
Big Data and Exascale Computing. - Yogesh Simmhan:
Big Data and Fog Computing. - Adnan Mahmood, Hushairi Zen, Shadi M. S. Hilles:
Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems. - Giancarlo Sperlì:
Big Data and Recommendation. - Amit Mitra, Kamran Munir:
Big Data Application in Manufacturing Industry. - Rodrigo N. Calheiros:
Big Data Architectures. - Nur Farhana Hordri, Siti Sophiayati Yuhaniz, Siti Mariyam Shamsuddin, Nurulhuda Firdaus Mohd Azmi:
Big Data Deep Learning Tools. - Mario Mezzanzanica, Fabio Mercorio:
Big Data Enables Labor Market Intelligence. - Markus Wurzenberger, Florian Skopik, Giuseppe Settanni:
Big Data for Cybersecurity. - Valerio Persico:
Big Data for Health. - Awais Akram Mughal:
Big Data in Automotive Industry. - Idilio Drago, Marco Mellia, Alessandro D'Alconzo:
Big Data in Computer Network Monitoring. - Vincenzo Moscato:
Big Data in Cultural Heritage. - Pierdomenico Fiadino, Marc Torrent-Moreno:
Big Data in Mobile Networks. - Duc C. Le, Nur Zincir-Heywood:
Big Data in Network Anomaly Detection. - Zaheer Abbas Khan, Jan Peters-Anders:
Big Data in Smart Cities. - Antonio Picariello:
Big Data in Social Networks. - S. M. Zobaed, Mohsen Amini Salehi:
Big Data in the Cloud. - Mohamed Y. Eltabakh:
Big Data Indexing. - Deepak Puthal, Rajiv Ranjan, Jinjun Chen:
Big Data Stream Security Classification for IoT Applications. - Lena Wiese, Armin Otto Schmitt, Mehmet Gültas:
Big Data Technologies for DNA Sequencing. - Nikos Bikakis:
Big Data Visualization Tools. - Carlos Costa, Carina Andrade, Maribel Yasmina Santos:
Big Data Warehouses for Smart Industries. - Helena F. Deus:
Big Semantic Data Processing in the Life Sciences Domain. - Patrick Lambrix, Rickard Armiento, Anna Delin, Huanyu Li:
Big Semantic Data Processing in the Materials Design Domain. - Suyash Gupta, Mohammad Sadoghi:
Blockchain Transaction Processing. - Zuhair Khayyat:
BSP Programming Model. - Marlon Dumas, Matthias Weidlich:
Business Process Analytics. - Francesco Folino, Luigi Pontieri:
Business Process Deviance Mining. - Marlon Dumas, Jan Mendling:
Business Process Event Logs and Visualization. - Henrik Leopold:
Business Process Model Matching. - Adela del-Río-Ortega, Manuel Resinas, Antonio Ruiz-Cortés:
Business Process Performance Measurement. - Artem Polyvyanyy:
Business Process Querying.
C
- Gene Pang, Haoyuan Li:
Caching for SQL-on-Hadoop. - Raja Appuswamy:
Cheap Data Analytics on Cold Storage. - Nicolas Modrzyk:
Clojure. - Fabrizio Marozzo, Loris Belcastro:
Cloud Computing for Big Data Analysis. - Marcin Zukowski:
Cloud-based SQL Solutions for Big Data. - Sampa Sahoo, Sambit Kumar Mishra, Bibhudatta Sahoo, Ashok Kumar Turuk:
Co-resident Attack in Cloud Computing: An Overview. - Avrilia Floratou:
Columnar Storage Formats. - Klaus-Dieter Lange, David L. Schmidt:
Component Benchmark. - Travis Gagie, Gonzalo Navarro:
Compressed Indexes for Repetitive Textual Datasets. - Behrooz Parhami:
Computer Architecture for Big Data. - Alistair Moffat, Matthias Petri:
Computing the Cost of Compressed Data. - Nuno M. Preguiça, Carlos Baquero, Marc Shapiro:
Conflict-Free Replicated Data Types CRDTs. - Jorge Munoz-Gama:
Conformance Checking. - Martin Hirzel:
Continuous Queries. - Faisal Nawab:
Coordination Avoidance. - Steffen Friedrich, Norbert Ritter:
CRUD Benchmarks.
D
- Xu Chu:
Data Cleaning. - Jesús García, José Manuel Molina, Antonio Berlanga, Miguel Ángel Patricio Guisado:
Data Fusion. - Paolo Papotti, Donatello Santoro:
Data Integration. - Christoph Quix, Rihan Hai:
Data Lake. - Behrooz Parhami:
Data Longevity and Compatibility. - Ziawasch Abedjan:
Data Profiling. - Thye Way Phua, Ryan K. L. Ko:
Data Provenance for Big Data Security and Accountability. - Amrapali Zaveri, Anisa Rula:
Data Quality and Data Cleansing of Semantic Data. - Behrooz Parhami:
Data Replication and Encoding. - Jeffrey Heer, Joseph M. Hellerstein, Sean Kandel:
Data Wrangling. - Benoît Depaire, Niels Martin:
Data-Driven Process Simulation. - Marc Shapiro, Pierre Sutra:
Database Consistency Models. - Renato Luiz de Freitas Cunha:
Databases as a Service. - Massimiliano de Leoni, Felix Mannhardt:
Decision Discovery in Business Processes. - Fabrizio Maria Maggi:
Declarative Process Mining. - Josep Carmona:
Decomposed Process Discovery and Conformance Checking. - Gianluigi Folino, Massimo Guarascio, Maryam Amir Haeri:
Deep Learning on Big Data. - Alessandro Margara, Tilmann Rabl:
Definition of Data Streams. - Pierluigi Crescenzi, Andrea Marino:
Degrees of Separation and Diameter in Large Graphs. - Torsten Suel:
Delta Compression Techniques. - Kasper Green Larsen:
Dimension Reduction. - Alisa Smirnova, Julien Audiffren, Philippe Cudré-Mauroux:
Distant Supervision from Knowledge Graphs. - Yuchong Hu:
Distributed File Systems. - Milos Nikolic:
Distributed Incremental View Maintenance.
E
- Vincenzo Gulisano, Marina Papatriantafilou, Alessandro Vittorio Papadopoulos:
Elasticity. - Xuntao Cheng, Cheng Liu, Bingsheng He:
Emerging Hardware Technologies. - Milind A. Bhandarkar:
End-to-End Benchmark. - Klaus-Dieter Lange, Jóakim von Kistowski:
Energy Benchmarking. - Carmela Comito:
Energy Efficiency in Big Data Analysis. - Behrooz Parhami:
Energy Implications of Big Data. - Christian Thomsen:
ETL. - Andreas Solti:
Event Log Cleaning for Business Process Analytics. - Soumya Banerjee, Samia Bouzefrane, Hanene Maupas:
Exploring Scope of Computational Intelligence in IoT Security Paradigm.
F
- Vineeth Rakesh, Lei Tang, Huan Liu:
Feature Learning from Social Graphs. - Maribel Acosta, Olaf Hartig, Juan F. Sequeda:
Federated RDF Query Processing. - Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi, Furqan Shaikh:
Flood Detection Using Social Media Big Data Streams. - Marcin Wylot, Sherif Sakr:
Framework-Based Scale-Out RDF Systems.
G
- Kaiyuan Zhu, Ibrahim Numanagic, Süleyman Cenk Sahinalp:
Genomic Data Compression. - Mahsa Najafzadeh, Suresh Jagannathan:
Geo-Replication Models. - Faisal Nawab:
Geo-Scale Transaction Processing. - Johns Paul, Bingsheng He, Chiew Tong Lau:
GPU-Based Hardware Platforms. - Sebastian Maneth:
Grammar-Based Compression. - Khaled Ammar:
Graph Benchmarking. - Angela Bonifati, Ioana Ileana:
Graph Data Integration and Exchange. - Marcus Paradies, Stefan Plantikow, Oskar van Rest:
Graph Data Management Systems. - Claudio Gutierrez, Jan Hidders, Peter T. Wood:
Graph Data Models. - Davide Mottin, Yinghui Wu:
Graph Exploration and Search. - Angela Bonifati, Arnau Prat-Pérez:
Graph Generation and Benchmarks. - Paolo Boldi:
Graph Invariants. - Alejandro A. Vaisman, Esteban Zimányi:
Graph OLAP. - Christian Schulz, Darren Strash:
Graph Partitioning: Formulations and Applications to Big Data. - Marcelo Arenas, Pablo Barceló, Leonid Libkin:
Graph Path Navigation. - Yinghui Wu, Arijit Khan:
Graph Pattern Matching. - Arturo Diaz-Perez, Alberto Garcia-Robledo, José Luis González Compeán:
Graph Processing Frameworks. - Renzo Angles, Juan L. Reutter, Hannes Voigt:
Graph Query Languages. - Semih Salihoglu, Nikolay Yakovets:
Graph Query Processing. - Marcus Paradies, Hannes Voigt:
Graph Representations and Storage. - Yifan Hu, Martin Nöllenburg:
Graph Visualization.
H
- Renata Ghisloti Duarte de Souza Granha:
Hadoop. - Wenhao Li:
Hardware Reliability Requirements. - Khalid Sayood, Sina Balkir:
Hardware-Assisted Compression. - Pinar Tözün:
Hardware-Assisted Transaction Processing. - Ilia Petrov, Andreas Koch, Tobias Vinçon, Sergey Hardock, Christian Riegger:
Hardware-Assisted Transaction Processing: NVM. - Raffaele Conforti:
Hierarchical Process Discovery. - Udayan Khurana, Amol Deshpande:
Historical Graph Management. - Alan F. Gates:
Hive. - Erhard Rahm, Eric Peukert:
Holistic Schema Matching. - Salman Niazi, Mahmoud Ismail, Seif Haridi, Jim Dowling:
HopsFS: Scaling Hierarchical File System Metadata Using NewSQL Databases. - Jana Giceva, Mohammad Sadoghi:
Hybrid OLTP and OLAP. - Yuanyuan Tian:
Hybrid Systems Based on Traditional Database Extensions.
I
- Marcel Kornacker, Alexander Behm:
Impala. - Spyros Blanas:
In-Memory Transactions. - Do Le Quoc, Dhanya R. Krishnan, Pramod Bhatotia, Christof Fetzer, Rodrigo Rodrigues:
Incremental Approximate Computing. - Pramod Bhatotia, Umut A. Acar, Flavio Paiva Junqueira, Rodrigo Rodrigues:
Incremental Sliding Window Analytics. - Jianzhong Qi, Rui Zhang:
Indexing. - George H. L. Fletcher, Martin Theobald:
Indexing for Graph Query Evaluation. - Laks V. S. Lakshmanan, Panayiotis Tsaparas, Yuichi Yoshida:
Influence Analytics in Graphs. - Sergi Nadal, Alberto Abelló:
Integration-Oriented Ontology. - Nicolo Rivetti:
Introduction to Stream Processing Algorithms. - Giulio Ermanno Pibiri, Rossano Venturini:
Inverted Index Compression.
J
- Zacharias Voulgaris:
Julia.
K
- Peng Jiang, Fuchun Guo, Willy Susilo, Jinguang Han:
Keyword Attacks and Privacy Preserving in Public-Key-Based Searchable Encryption. - Paolo Rosso, Dingqi Yang, Philippe Cudré-Mauroux:
Knowledge Graph Embeddings. - Bernhard Haslhofer, Antoine Isaac, Rainer Simon:
Knowledge Graphs in the Libraries and Digital Humanities Domain.
L
- Marco Aldinucci, Maurizio Drocco, Claudia Misale, Guy Tremblay:
Languages for Big Data analysis. - Erhard Rahm, Eric Peukert:
Large Scale Entity Resolution. - Erhard Rahm, Eric Peukert:
Large-Scale Schema Matching. - Peixiang Zhao:
Link Analytics in Graphs. - Olaf Hartig, Katja Hose, Juan F. Sequeda:
Linked Data Management. - Manolis Koubarakis, Konstantina Bereta, Charalampos Nikolaou, George Stamoulis:
Linked Geospatial Data.
M
- Ted Dunning:
Management of Time. - Alain Crolotte:
Metrics for Big Data Benchmarks. - Nicolás Poggi:
Microbenchmark. - Chii Chang, Amnir Hadachi, Satish Narayana Srirama, Mart Min:
Mobile Big Data: Foundations, State of the Art, and Future Directions. - Stefanie Rinderle-Ma:
Multidimensional Process Analytics.
N
- Marcin Wylot, Sherif Sakr:
Native Distributed RDF Systems. - Niranjan Kumar Ray, Biswaranjan Acharya, Anil Kumar Swain:
Network Big Data Security Issues. - Fábio Diniz Rossi, Guilherme da Cunha Rodrigues:
Network-Level Support for Big Data Computing. - Sherif Sakr:
NoSQL Database Systems.
O
- András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Online Machine Learning Algorithms over Data Streams. - András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Online Machine Learning in Big Data Streams: Overview. - Eva Blomqvist:
Ontologies for Big Data. - Abhishek Chandra, Benjamin Heintz, Ramesh K. Sitaraman:
Optimizing Geo-Distributed Streaming Analytics. - Saurabh Kumar Garg, Siqi Wang, Rajiv Ranjan:
Orchestration Tools for Big Data.
P
- Da Yan, Hang Liu:
Parallel Graph Processing. - Spyros Blanas:
Parallel Join Algorithms in MapReduce. - Behrooz Parhami:
Parallel Processing with Big Data. - Alessandro Margara:
Pattern Recognition. - Jorge Veiga, Roberto R. Expósito, Juan Touriño:
Performance Evaluation of Big Data Analysis. - Chiara Di Francescomarino:
Predictive Business Process Monitoring. - Jhalak Hota, Deepak Puthal, Abhay Kumar Samal:
Privacy Cube. - Miroslaw Kutylowski, Przemyslaw Blaskiewicz:
Privacy-Aware Identity Management. - Do Le Quoc, Martin Beck, Pramod Bhatotia, Ruichuan Chen, Christof Fetzer, Thorsten Strufe:
Privacy-Preserving Data Analytics. - Dinusha Vatsalan, Dimitrios Karapiperis, Vassilios S. Verykios:
Privacy-Preserving Record Linkage. - Maurice van Keulen:
Probabilistic Data Integration. - Abel Armas-Cervantes:
Process Model Repair. - Sandeep Nagar:
Python.
Q
- Mohamed A. Soliman:
Query Optimization Challenges for SQL-on-Hadoop. - Jianzhong Qi, Rui Zhang:
Query Processing - kNN. - Amr Magdy:
Query Processing: Computational Geometry. - Nikos Mamoulis:
Query Processing: Joins. - Arik Senderovich:
Queue Mining.
R
- Miguel A. Martínez-Prieto, Javier D. Fernández, Antonio Hernández-Illera, Claudio Gutierrez:
RDF Compression. - Stefan Dietze, Elena Demidova, Konstantin Todorov:
RDF Dataset Profiling. - Javier D. Fernández, Miguel A. Martínez-Prieto:
RDF Serialization and Archival. - Jacopo Urbani:
Reasoning at Scale. - András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Recommender Systems Over Data Streams. - Anja Gruenheid:
Record Linkage. - András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Reinforcement Learning, Unsupervised Methods, and Concept Drift in Stream Learning. - Ted Dunning, Ellen Friedman:
Rendezvous Architectures. - Alekh Jindal, Anil Shanbhag, Yi Lu:
Robust Data Partitioning.
S
- Alexander Alexandrov:
Scala. - Peng Sun, Yonggang Wen:
Scalable Architectures for Big Data Analysis. - Sibghat Ullah Bazai, Julian Jang-Jaccard, Xuyun Zhang:
Scalable Big Data Privacy with MapReduce. - Paolo Papotti:
Schema Mapping. - Philippe Cudré-Mauroux:
SciDB. - Johns Paul, Bingsheng He, Chiew Tong Lau:
Search and Query Accelerators. - Sambit Kumar Mishra, Sampa Sahoo, Bibhudatta Sahoo:
Secure Big Data Computing in Cloud: An Overview. - Sabrina Kirrane:
Security and Privacy Aspects of Semantic Data. - Shekha Chenthara, Hua Wang, Khandakar Ahmed:
Security and Privacy in Big Data Environment. - Gianluca Demartini:
Semantic Interlinking. - Philippe Cudré-Mauroux:
Semantic Search. - Danh Le Phuoc, Manfred Hauswirth:
Semantic Stream Processing. - Rasmus Pagh:
Similarity Sketching. - Kanat Tangwongsan, Martin Hirzel, Scott Schneider:
Sliding-Window Aggregation Algorithms. - Barzan Mozafari:
SnappyData. - Xiao Li, Cheng Lian, Shu Mo:
Spark SQL. - John Poelman, Emily May Curtin:
SparkBench. - Booma Sowkarthiga Balasubramani, Isabel F. Cruz:
Spatial Data Integration. - Shuliang Wang, Tisinee Surapunt:
Spatial Data Mining. - Shashi Shekhar, Jayant Gupta:
Spatial Graph Big Data. - Mohamed Sarwat, Yuhan Sun:
Spatio-Social Data. - Gao Cong, Christian S. Jensen:
Spatio-Textual Data. - Xiaofang Zhou, Lei Li:
Spatiotemporal Data: Trajectories. - Dirk Düllmann:
Storage Hierarchies for Big Data. - Zhaojie Niu, Bingsheng He:
Storage Technologies for Big Data. - Jeyhun Karimov:
Stream Benchmarks. - Martin Hirzel, Guillaume Baudart:
Stream Processing Languages and Abstractions. - Martin Hirzel, Robert Soulé, Bugra Gedik, Scott Schneider:
Stream Query Optimization. - Paris Carbone, Asterios Katsifodimos, Seif Haridi:
Stream Window Aggregation Semantics and Optimization. - Ahmed R. Mahmood, Walid G. Aref:
Streaming Big Spatial Data. - Ted Dunning, Ellen Friedman:
Streaming Microservices. - Andrea Burattin:
Streaming Process Discovery and Conformance Checking. - André Martin, Andrey Brito, Christof Fetzer:
StreamMine3G: Elastic and Fault Tolerant Large Scale Stream Processing. - Peiquan Jin:
Structures for Large Data Sets. - Francois Raab:
System Under Test.
T
- Behrooz Parhami:
Tabular Computation. - Natacha Crooks:
TARDiS: A Branch-and-Merge Approach to Weak Consistency. - Norman S. Matloff, Clark Fitzgerald, Robin Elizabeth Yancey:
The R Language: A Powerful Tool for Taming Big Data. - Shadi Khalifa:
Tools and Libraries for Big Data Analysis. - Meikel Poess, Raghunath Nambiar:
TPC. - Meikel Poess:
TPC-DS. - Meikel Poess:
TPC-H. - Tariq Magdon-Ismail:
TPCx-HS. - Jochen De Weerdt:
Trace Clustering. - Kaiwen Zhang:
Transactions in Massively Multiplayer Online Games. - Laure Berti-Équille:
Truth Discovery. - Lukasz Golab:
Types of Stream Processing Algorithms.
U
- Avigdor Gal:
Uncertain Schema Matching. - Avigdor Gal, Nicolo Rivetti:
Uncertainty in Streams. - Mohammad Saiedur Rahaman, Margaret Hamilton, Flora D. Salim:
Using Big Spatial Data for Planning User Mobility.
V
- Calvin Jia, Haoyuan Li:
Virtual Distributed File System: Alluxio. - Tariq Magdon-Ismail:
Virtualized Big Data Benchmarks. - Sourav S. Bhowmick, Byron Choi:
Visual Graph Querying. - Ahmed Eldawy:
Visualization. - Rogério Abreu de Paula:
Visualization Techniques. - Michael Luggen:
Visualizing Semantic Data.
W
- Faisal Nawab:
Weaker Consistency Models/Eventual Consistency. - Ronald Barber, Vijayshankar Raman, Richard Sidle, Yuanyuan Tian, Pinar Tözün:
Wildfire: HTAP for Big Data. - Loris Belcastro, Fabrizio Marozzo:
Workflow Systems for Big Data Analysis.
Y
- Steffen Friedrich, Norbert Ritter:
YCSB.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-11 02:08 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
