information avalanche (overload or expansion) in various scientific fields is a novel issue turned out by a number of factors considered necessary to facilitate their record and registration. though, the biological science and its diverse fields like proteomics are not immune of this event and even may be as the event’s herald. on the other hand, time as the most valued anxiety of human has enc...

association rules are among important techniques in data mining which are used for extracting hidden patterns and knowledge in large volumes of data. association rules help individuals and organizations take strategic decisions and improve their business processes. extracted association rules from a database contain important and confidential information that if published, the privacy of indivi...

optimizing the database queries is one of hard research problems. exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. the use of evolutionary methods, beca...

apriori algorithm is the most popular algorithm in association rules mining. one of the problems the apriori algorithm is that the user must specify a minimum support threshold. consider that a user wants to implement the apriori algorithm on a database with millions of transactions; users will not have the necessary knowledge about all the transactions in the database and therefore cannot dete...

XML has emerged as a popular formatting and exchanging language for nearly all kinds of data, including scientific data. Efficient query processing in XML databases is of great importance for numerous applications. Trees or twigs are the core structural elements in XML data and queries. Recently, a holistic computing approach has been proposed for extended XML twig patterns, i.e., B-Twigs (Bool...

This paper identiies the problems of the group commit protocol for the distributed main memory database systems, and presents a distributed group commit protocol. In the proposed protocol, a consistent set of transactions which have to be committed together is identiied during the normal transaction processing, by propagating the transaction precedence relations as the normal transaction messag...

Parallelizing multidimensional indexes for main memory databases Master thesis,

New data has been generated in an unexpected high speed. To get insight of those data, data analysts will perform a thorough study using state-of-the-art big data analytical tools. Before the analysis starts, a preprocessing is conducted, where data analyst tends to issue a few ad-hoc queries on a new dataset to explore and gain a better understanding. However, it is costly to perform such ad-h...

The Virtual Solar-Terrestrial Observatory (VSTO) is a distributed, scalable education and research environment for searching, integrating, and analyzing observational, experimental and model databases in fields of solar, solar-terrestrial and space physics. Our work on VSTO required us to create a formal, machine understandable representation for concepts, relations and attributes of physical q...