Data expansion and computation

time complexity comparison with Paillier cryptosystem are analyzed in Section 5.

Section 3 analyses the

time complexity, compares the method with an older algorithm based on static strips, and introduces some additional improvements.

As a solution, they use an algorithm with similar

time complexity as the one we propose in the next section, 0(logaN).

Wardoyo, "

Time complexity analysis of support vector machines (SVM) in LibSVM," International Journal Computer Application, vol.

Here we compare in terms of the ciphertext size and the

time complexity of basic operation implemented during homomorphic evaluation.

(2) It uses bucket sort to speed up the BWT encoding and decoding with

time complexity O(N), so that the BWT block size can rise to 2 GB or more to fit the big data compression.

The proposed system has different advantages like complexity is less for a large amount of data, less

time complexity and has high accuracy rate of classification.

Time complexity [21] of convolutional layers can be defined as:

Finding an efficient flight path at the cost of

time complexity of this algorithm is always the most concerned issue of researchers.

Since, in classical K-means algorithm, every iteration requires calculation of the distance between each protein and each cluster center, the

time complexity of classical K-means algorithm is 0(t * K * N); here t is the number of iteration until cluster centers convergence.

However, the

time complexity will be increased exponentially with the increase of the thresholds, which limits its application in real time and cannot be tolerated.

The

time complexity of VorNSA is ([N.sub.S] log [N.sub.S] + [N.sub.S.sup.[d/2]] + [absolute value of D]), where [N.sub.S] is the size of training dataset, d is the dimension of training dataset, and [absolute value of D] is the size of detectors.