Sentence examples similar to built in databases from inspiring English sources

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Of course sites like MySpace and Facebook serve this purpose and have a built in database of fans, so the site will face stiff competition from these established social network.

Roschke et al. conducted an experiment [90] to evaluate the efficiency of alert correlation with three different database architectures: traditional row-based DBMS (e.g., MySQL), memory-based column database (e.g., MonetDB), and a custom built in-memory database.

Built-in databases label the files.

Many of them have built-in databases of current events, so they can piece together phrases that seem relevant to their target audience.

As tomato databases are not yet covered by goseq built-in databases, transcripts lengths were retrieved with BiomaRt queries (Solanum lycopersicum SL2.40).

When compared with the known motifs in multiple built-in databases including DMMPMM, iDMMPMM, flyreg and fly factor survey using TOMTOM [ 62– 65], 111 (60.3%) of the Umotifs are highly similar to known motifs in D. melanogaster at p < 0.001 (Additional file 8: Table S3), strongly suggesting that they are likely to be true motifs.

Onion Genomic Resource (OGR), with three-tier architecture, is the first of its kind, comprehensive web-resource/database, built in MySQL database and PHP that catalogues the genomic developments specific to onion.

Since economic constraints are built in the GTAP database, we do not impose any priori restriction on the expansion of irrigation in the areas indicated as being constrained for economic reasons.

Scalability is dramatically improved with built in support for database caching through Data::Object Driver and Memcached, incorporating technology that powers Vox, LiveJournal and TypePad, as well as Web 2.0 sites including AOL, Microsoft, Digg, Wikipedia, Craigslist and Facebook.

A mixed integer linear programming (MILP) model has been formulated and implemented in a commercial software package (GAMS) using databases built in Excel.

The results of the proposed technology are compared with the outcome of general-purpose search-engines built in common academic publication databases.

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