Purpose This study aimed to investigate and analyze the level of awareness and adoption of
distributed ledger technologies (DLTs) within the Nigerian construction industry. The focus …

Outsourcing encrypted time series data and query services to a cloud has been widely
adopted by data owners for economic considerations. However, it inevitably lowers data …

With the advent of big data, industries and individuals generate a large amount of stream
data through various intelligent devices. Stream data arrive gradually over time, unlike …

Semi-supervised clustering is an effective method, which improves the clustering
performance based on pairwise constraints. However, state-of-the-art methods suffer from …

Master–slave blockchain is a novel information processing technology that is domain-
oriented and uses efficient cryptography principles for trustworthy communication and …

The order-preserving pattern mining can be regarded as discovering frequent trends in time
series, since the same order-preserving pattern has the same relative order which can …

Database management is currently an inevitable part of information technology. It requires
data to be obtained in a fast, reliable, and consistent manner. Indexes are defined as an …

Subsequence matching is an important and fundamental problem on time series data. This
paper studies the inherent time complexity of the subsequence matching problem and …

The terabyte-scale of data series has motivated recent efforts to design fully distributed
techniques for supporting operations such as approximate kNN similarity search, which is a …

Abstract Dynamic Time War** (DTW) is a well-known similarity measure between time
series data. Although DTW can calculate the similarity between time series with different …