«Theodoros Tokis is a high level professional. Talented with many skills. I highly recommend him to LinkedIn.»
Σχετικά με εμάς
With over 13 years of experience as a web engineer and entrepreneur, I am passionate…
Δραστηριότητα
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When Useberry's marketing team traded calls for mountain trails. ⛰️ Beautiful views and fresh air reminded us how important it is to find balance in…
When Useberry's marketing team traded calls for mountain trails. ⛰️ Beautiful views and fresh air reminded us how important it is to find balance in…
Άρεσε στον χρήστη Teo Tokis
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Som UI-designer arbejder jeg ud fra en kombination mellem best practice og indsigter fra brugerne. Den sidste del kan af og til være ret besværlig og…
Som UI-designer arbejder jeg ud fra en kombination mellem best practice og indsigter fra brugerne. Den sidste del kan af og til være ret besværlig og…
Άρεσε στον χρήστη Teo Tokis
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🌟As we wrap up the first season of If U Seek, we want to take a moment to thank all our incredible guests and listeners for making this journey so…
🌟As we wrap up the first season of If U Seek, we want to take a moment to thank all our incredible guests and listeners for making this journey so…
Άρεσε στον χρήστη Teo Tokis
Εμπειρία
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Εκπαίδευση
Άδειες και πιστοποιήσεις
Δημοσιεύσεις
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Handling Weighted Sequences Employing Inverted Files and Suffix Trees
10th International Conference on Web Information Systems and Technologies (WEBIST 2014)
Δείτε τη δημοσίευσηIn this paper, we address the problem of handling weighted sequences. This is by taking advantage of the inverted files machinery and targeting text processing applications, where the involved documents cannot be separated into words (such as texts representing biological sequences) or word separation is difficult and involves extra linguistic knowledge (texts in Asian languages). Besides providing a handling of weighted sequences using n-grams, we also provide a study of constructing space…
In this paper, we address the problem of handling weighted sequences. This is by taking advantage of the inverted files machinery and targeting text processing applications, where the involved documents cannot be separated into words (such as texts representing biological sequences) or word separation is difficult and involves extra linguistic knowledge (texts in Asian languages). Besides providing a handling of weighted sequences using n-grams, we also provide a study of constructing space efficient n-gram inverted indexes. The proposed techniques combine classic straightforward n-gram indexing, with the recently proposed two-level n-gram inverted file technique. The final outcomes are new data structures for n-gram indexing, which perform better in terms of space consumption than the existing ones. Our experimental results are encouraging and depict that these techniques can surely handle n-gram indexes more space efficiently than already existing methods.
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🎧Catch up with our latest "If U Seek" episode featuring Sotiris Sotiropoulos from Meta. In this clip, Sotiris sheds light on the common…
🎧Catch up with our latest "If U Seek" episode featuring Sotiris Sotiropoulos from Meta. In this clip, Sotiris sheds light on the common…
Άρεσε στον χρήστη Teo Tokis
