A5020449921- Data Management and Algorithms
- Advanced Database Systems and Queries
- Semantic Web and Ontologies
- Data Mining Algorithms and Applications
- Geographic Information Systems Studies
- Peer-to-Peer Network Technologies
- Service-Oriented Architecture and Web Services
- Human Mobility and Location-Based Analysis
- Caching and Content Delivery
- Constraint Satisfaction and Optimization
- Complex Network Analysis Techniques
- Web Data Mining and Analysis
- Big Data and Business Intelligence
- Algorithms and Data Compression
- Data Quality and Management
- Data Visualization and Analytics
- Advanced Text Analysis Techniques
- Distributed systems and fault tolerance
- Time Series Analysis and Forecasting
- Graph Theory and Algorithms
- Multimedia Communication and Technology
- Recommender Systems and Techniques
- Data Stream Mining Techniques
- Video Analysis and Summarization
- Advanced Data Storage Technologies
Athena Research and Innovation Center In Information Communication & Knowledge Technologies
2008-2024
Swinburne University of Technology
2015-2023
Menlo School
2020-2022
Alpha Omega Alpha Medical Honor Society
2022
Institute of Electrical and Electronics Engineers
2021
Meta (United States)
2020-2021
University of Utah
2019
The University of Western Australia
2018
University of Huddersfield
2018
University of Calabria
2018
The problem of indexing multidimensional objects is considered. First, a classification existing methods given along with discussion the major issues involved in data indexing. Second, variation to Guttman’s Rtrees (R+-trees) that avoids overlapping rectangles intermediate nodes tree introduced. Algorithms for searching, updating, initial packing and reorganization structure are discussed detail. Finally, we provide analytical results indicating R+-trees achieve up 50% savings disk accesses...
Some recently proposed extensions to relational database systems, as well deductive require support for multiple-query processing. For example, in a system enhanced with inference capabilities, simple query involving rule multiple definitions may expand more than one actual that has be run over the database. It is an interesting problem then come up algorithms process these queries together instead of at time. The main motivation performing such interquery optimization lies fact share common...
Computational microRNA (miRNA) target prediction is one of the key means for deciphering role miRNAs in development and disease. Here, we present DIANA-microT web server as user interface to 3.0 miRNA algorithm. The provides extensive information predicted miRNA:target gene interactions with a user-friendly interface, providing connectivity online biological resources. Target functions may be elucidated through automated bibliographic searches functional accessible Kyoto Encyclopedia Genes...
MicroRNAs are small endogenously expressed non-coding RNA molecules that regulate target gene expression through translation repression or messenger degradation. MicroRNA regulation is performed pairing of the microRNA to sites in protein coding genes. Since experimental identification miRNA genes poses difficulties, computational prediction one key means deciphering role microRNAs development and disease.DIANA-microT 3.0 an algorithm for which based on several parameters calculated...
Influence maximization has recently received significant attention for scheduling online campaigns or advertisements on social network platforms. However, most studies only focus user influence via cyber interactions while ignoring their physical which are also essential to gauge propagation. Additionally, targeted have not sufficient attention. To address these issues, we first devise a novel holistic diffusion model that takes into account both and in an effective practical way. Based the...
Multimedia applications usually involve a large number of multimedia objects (texts, images, sounds, etc.). Spatial and temporal relationships among these should be efficiently supported retrieved within authoring tool. In this paper, we present several spatial, spatio-temporal interest, propose efficient indexing schemes, based on multidimensional (spatial) data structures, for that thousands objects. Evaluation models the proposed schemes are also presented, as well hints selection most...
In this paper, we present different proposals for multidimensional data cubes, which are the basic logical model OLAP applications. We have grouped work in field two categories: commercial tools (presented along with terminology and standards) academic efforts. further divide efforts subcategories: relational extensions cube-oriented approaches. Finally, attempt a comparative analysis of various
Article Free Access Share on A model for the prediction of R-tree performance Authors: Yannis Theodoridis Computer Science Division, Department Electrical and Engineering, National Technical University Athens, Zographou 15773, Greece GreeceView Profile , Timos Sellis Authors Info & Claims PODS '96: Proceedings fifteenth ACM SIGACT-SIGMOD-SIGART symposium Principles database systemsJune 1996 Pages 161–171https://doi.org/10.1145/237661.237705Online:03 June 1996Publication History...
Recent developments in spatial relations have led to their use numerous applications involving databases. This paper is concerned with the retrieval of topological Minimum Bounding Rectangle-based data structures. We study information that Rectangles convey about actual objects they enclose, using concept projections. Then we apply results R-trees and variations, R+-trees R*-trees order minimise disk accesses for queries relations. also investigate involve complex conditions form...
Pictorial databases require efficient and direct spatial search based on the analog form of objects relationships instead some cumbersome alphanumeric encodings pictures. A description is given PSQL, a query language that allows pictorial domains to be presented user in their him or her do manipulation found those domains. Direct computation pictures done using data structures, R- R/sup +/-trees (multidimensional B-trees), which are excellent devices for searching pictures.< <ETX...
Extraction-transformation-loading (ETL) tools are pieces of software responsible for the extraction data from several sources, their cleansing, customization and insertion into a warehouse. Usually, these processes must be completed in certain time window; thus, it is necessary to optimize execution time. In this paper, we delve logical optimization ETL processes, modeling as state-space search problem. We consider each workflow state fabricate space through set correct transitions....
Database needs are changing, driven by the Internet and increasing amounts of scientific sensor data. In this article, authors propose research into several important new directions for database management systems.
Monitoring movement of high-dimensional points is essential for environmental databases, geospatial applications, and biodiversity informatics as it reveals crucial information about data evolution, provenance detection, pattern matching etc. Despite recent research interest on processing continuous queries in the context spatiotemporal streams, main focus managing current location numerous moving objects. In this paper, we turn our attention onto a historical perspective examine...
MicroRNAs are small, non-protein coding RNA molecules known to regulate the expression of genes by binding 3'UTR region mRNAs. produced from longer transcripts which can code for more than one mature miRNAs. miRGen 2.0 is a database that aims provide comprehensive information about position human and mouse microRNA their regulation transcription factors, including unique compilation both predicted experimentally supported data. Expression profiles microRNAs in several tissues cell lines,...
As the web is increasingly used not only to find answers specific information needs but also carry out various tasks, enhancing capabilities of current search engines with effective and efficient techniques for service retrieval selection becomes an important issue. Existing matchmakers typically determine relevance between a advertisement request by computing overall score that aggregates individual matching scores among parameters in their descriptions. Two main drawbacks characterize such...
Detecting social communities in large networks provides an effective way to analyze the media users' behaviors and activities. It has drawn extensive attention from both academia industry. One essential aspect of is outer influence which capability spread internal information external users. high particular interest a wide range applications, e.g., Ads trending analytics, opinion mining news propagation pattern discovery. However, existing detection techniques largely ignore communities. To...
The advent of healthcare information management systems (HIMSs) continues to produce large volumes data for patient care and compliance regulatory requirements at a global scale. Analysis this big allows boundless potential outcomes discovering knowledge. Big analytics (BDA) in can, instance, help determine causes diseases, generate effective diagnoses, enhance QoS guarantees by increasing efficiency the delivery effectiveness viability treatments, accurate predictions readmissions, clinical...
This paper provides an analysis of R-trees and a variation (R+-trees) that avoids overlapping rectangles in intermediate nodes the tree. The main contributions are following. We provide first known R-trees. Although formulas given for objects one dimension (line segments), they can be generalized higher dimensions as well. show how transformation to [HINR83] effectively used tool R- R+- trees. Finally, we derive R+-trees compare two methods analytically. results obtained require less than...