What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- Artificial intelligence
Walid G. Aref mainly investigates Data mining, Temporal database, Search engine indexing, Algorithm and Scalability.
Walid G. Aref specializes in Data mining, namely Query language.
His work carried out in the field of Query language brings together such families of science as Web search query, Query by Example, Spatial query and Relational database.
Within one scientific family, Walid G. Aref focuses on topics pertaining to Set under Temporal database, and may sometimes address concerns connected to Real-time computing, Tree, k-nearest neighbors algorithm and Mobile computing.
His Search engine indexing research integrates issues from Object, Tree structure and Grid.
The study incorporates disciplines such as Server and Anonymity in addition to Database.
His most cited work include:
- The new Casper: query processing for location services without compromising privacy (970 citations)
- Automatic image segmentation by integrating color-edge extraction and seeded region growing (495 citations)
- SINA: scalable incremental processing of continuous queries in spatio-temporal databases (384 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Data mining, Database, Search engine indexing, Scalability and Information retrieval.
His research in Data mining tackles topics such as Theoretical computer science which are related to areas like Graph.
His work deals with themes such as Index, Object and Tree, Algorithm, Trie, which intersect with Search engine indexing.
His study in Scalability is interdisciplinary in nature, drawing from both Distributed computing, Wireless sensor network, Set, Temporal database and Big data.
Walid G. Aref has included themes like Annotation and Video tracking in his Information retrieval study.
His study on Query optimization also encompasses disciplines like
- Web query classification and related Query expansion,
- Spatial query and related Query language and Spatial database.
He most often published in these fields:
- Data mining (24.49%)
- Database (22.11%)
- Search engine indexing (17.35%)
What were the highlights of his more recent work (between 2017-2020)?
- Scalability (16.33%)
- Search engine indexing (17.35%)
- Data mining (24.49%)
In recent papers he was focusing on the following fields of study:
Walid G. Aref focuses on Scalability, Search engine indexing, Data mining, Distributed computing and Information retrieval.
Walid G. Aref interconnects Materialized view, Analytics, Cloud computing and Big data in the investigation of issues within Scalability.
His biological study spans a wide range of topics, including Process and Index.
His Data mining research focuses on Skyline in particular.
His Information retrieval research incorporates elements of Correctness, Crowds and Data management.
His Database study also includes fields such as
- Tuple together with Data stream mining,
- Data structure that connect with fields like Interface, Query language and Set.
Between 2017 and 2020, his most popular works were:
- Spatio-temporal access methods: a survey (2010 - 2017) (13 citations)
- Adaptive processing of spatial-keyword data over a distributed streaming cluster (11 citations)
- FAST: Frequency-Aware Indexing for Spatio-Textual Data Streams (10 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- Artificial intelligence
Scalability, Search engine indexing, Data mining, Data stream mining and Distributed computing are his primary areas of study.
His Scalability study combines topics in areas such as Information retrieval and Big data.
His work in the fields of Data mining, such as Skyline, overlaps with other areas such as Dissemination.
His studies deal with areas such as Spatial database, Process, Throughput and Index as well as Data stream mining.
His Throughput research is multidisciplinary, incorporating perspectives in Data management, Snapshot, Workload, Tree and Data stream.
Walid G. Aref has researched Distributed computing in several fields, including Preprocessor, Overhead, RDF query language and Cloud computing.
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