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Shariff, Karunda.
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Comparison of dynamic rule mining algorithms/ Shariff, Karunda.
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Oğuz, Damla.
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mining algorithms with every update is inefficent. This is called the dynamic update problem of frequent
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3.
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Kaya, Adem.
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algorithms that provide cheap approximations to the RFB functions, contributing a good stabilizing effect to
by
Öztürk, Ahmet Cumhur.
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between sites. Join operation optimization algorithms in distributed database system focus on reducing the
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İnan, Emrah.
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collaborative filtering algorithms unless they have enough dense dataset. Hence, MoresysGOAL has a successful
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Yılmaz, Şule.
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searches can be useful. There are some homology search algorithms such as MS-BLAST, MS-Shotgun, FASTS. But
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Doğan, Tunca.
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embedding. This allowed statistical learning algorithms to be applied on the resulting embeddings in order
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Şahin, Osman Nuri.
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algorithms is acceptable in all test scenarios. In addition, two control models were developed (kinematic and
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