Sökning: "n-grams"

Visar resultat 1 - 5 av 17 uppsatser innehållade ordet n-grams.

1. 1. Using NLP Techniques for Log Analysis to Recommend Activities For Troubleshooting Processes

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Martin Sköld; [2020]
   Nyckelord :;

   Sammanfattning : Continuous Integration is the practice of building and testing software every time a code change is merged into its entire codebase. At the merge, the source code is compiled, dependencies are resolved, and test cases are executed. LÄS MER

3. 2. Evolving Text Classifier Using Genetic Programming

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Hoang Ngo; Ema Eminagic; [2020]
   Nyckelord :genetic programming; evolutionary algorithm; evolutionary computation; text classification; n-grams; natural language processing; Technology and Engineering;

   Sammanfattning : Text classification is one of the main tasks within the field of natural language processing, which has been growing significantly during the last decade with applications in different industries. Despite different approaches to text classification showing good results, such as Machine Learning and Deep Learning, their shortcomings give substance to the need for further research on other approaches. LÄS MER

4. 3. N-Grams as a Measure of Naturalness and Complexity

   Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Richard Randák; [2019]
   Nyckelord :language model; language processing; ngram; naturalness; java; code complexity; software quality; static analysis; code metrics;

   Sammanfattning : We live in a time where software is used everywhere. It is used even for creating other software by helping developers with writing or generating new code. To do this properly, metrics to measure software quality are being used to evaluate the final code. However, they are sometimes too costly to compute, or simply don't have the expected effect. LÄS MER

5. 4. An Evaluation of Machine Learning Approaches for Hierarchical Malware Classification

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Robin Roth; Martin Lundblad; [2019]
   Nyckelord :Machine Learning; Hierarchical Malware Classification; Static Malware Analysis; Mnemonic N-grams;

   Sammanfattning : With an evermore growing threat of new malware that keeps growing in both number and complexity, the necessity for improvement in automatic detection and classification of malware is increasing. The signature-based approaches used by several Anti-Virus companies struggle with the increasing amount of polymorphic malware. LÄS MER

7. 5. DETECTION of INFRASTRUCTURE ANOMALIES in BUILD LOGS USING MACHINE LEARNINGText classification on Continous Integration log files.

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Didrik Lindqvist; [2019]
   Nyckelord :;

   Sammanfattning : Continuous integration is a practice where software developers integrate their code to a bigger codebase multiple times per day. Before the integration, the code is built and tested by e.g open source build tools such as Jenkins, and the information produced during this process is stored in a log file. LÄS MER