Results 91 to 100 of about 17,818 (198)
Ecosystem synergies as drivers of acquisitions
Abstract Research Summary We examine how the structure of ecosystems shapes firms’ acquisition choices. We develop a theoretical framework comprising three levels of ecosystem structure – local interdependence, clusters, and centrality – that could drive choices of M&A targets based on expected ecosystem synergies, a previously undocumented acquisition
Natalie Burford +2 more
wiley +1 more source
Email Hoax Detection System Using Levenshtein Distance Method
Hoaxes are non-malicious viruses. They live on deceiving human’s perception by conveying false claims as truth. Throughout history, hoaxes have actually able to influence a lot of people to the extent of tarnishing the victim’s image and credibility. Moreover, wrong and misleading information has always been a distortion to a human’s growth.
Yoke Yie Chen +2 more
openaire +1 more source
An Algorithmic Bridge Between Hamming and Levenshtein Distances
The full version of a paper accepted to ITCS 2023; abstract shortened to meet arXiv ...
Goldenberg, Elazar +3 more
openaire +5 more sources
Pencarian data pada platform PUSDATA masih terkendala kesalahan pengetikan (typo) dan perbedaan istilah yang digunakan pengguna. Hal ini menyebabkan pencarian gagal menemukan data yang relevan jika terjadi kesalahan kecil dalam penulisan kata kunci ...
Taslim Taslim +2 more
doaj +1 more source
Aplikasi Sistem Pencarian Lagu menggunakan Algoritma Levenshtein Distance
Saat ini dalam kehidupan sehari-hari manusia tidak terlepas dari suara musik baik itu di dalam rumah maupun di luar rumah. Adanya musik di dalam kehidupan manusia sangat bermanfaat karena musik sebagai relaksasi untuk melepas stress, atau untuk mengubah suasana.
Yulia Darnita, Muntahanah Muntahanah
openaire +1 more source
End-to-End Speech Recognition Sequence Training With Reinforcement Learning
End-to-end sequence modeling has become a popular choice for automatic speech recognition (ASR) because of the simpler pipeline compared to the conventional system and its excellent performance.
Andros Tjandra +2 more
doaj +1 more source
Penerapan Knowledge Management System Menggunankan Algoritma Levenshtein
Knowledge management (KM) is an important thing to store or possess existing knowledge. The difficulty of getting knowledge that has actually been known for a long time about special planning for new information is to repair a certain position, in this ...
Orissa Octaria +2 more
doaj +1 more source
Retrieval of mathematical text from data is a key predicament in present circumstances. To achieve this, we have considered three different algorithms viz., Sequence matcher, Levenshtein Distance and Fuzzy-Wuzzy. Two different variants of Fuzzy-Wuzzy are
G. Appa Rao +3 more
doaj +1 more source
Sentiment Classification of Movie Reviews using Levenshtein Distance
In this paper, we propose a method of sentiment classification which uses Levenshtein distance. We generate BOW(Bag-Of-Word) applying Levenshtein daistance in sentiment features and used it as the training set. Then the machine learning algorithms we used were SVMs(Support Vector Machines) and NB(Naive Bayes).
Kwang-Mo Ahn +3 more
openaire +2 more sources
Slice Distance: An Insert-Only Levenshtein Distance with a Focus on Security Applications
Levenshtein distance is well known for its use in comparing two strings for similarity. However, the set of considered edit operations used when comparing can be reduced in a number of situations. In such cases, the application of the generic Levenshtein distance can result in degraded detection and computational performance.
Afzal, Zeeshan +3 more
openaire +3 more sources

