Archives management plays an important role in the current information age. Solving the
problem of identifying and classifying archives is essential for promoting the development of …

This paper analyzes the data resources of archives in Gansu Province by combining with the
characteristics of archives resources, and combines with Naive Bayesian classification …

Data mining belongs to knowledge discovery, which is the process of revealing implicit,
unknown, and valuable information from a large amount of fuzzy application data. The …

Abstract File-Type Identification (FTI) is one of the essential functions that can be performed
by examining the data blocks' magic numbers. However, this examination leads to a …

File fragment classification is an important and difficult problem in digital forensics. Previous
works in this area mainly relied on specific byte sequences in file headers and footers, or …

Because the properties of data are becoming more and more complex, the traditional data
classification is difficult to realize the data classification according to the complexity …

In the world of big data, it's quite a task to organize different files based on their similarities.
Dealing with heterogeneous data and keeping a record of every single file stored in any …

Personal and organizational data are getting larger in volume with respect to time. Due to
the importance of data for organisations, effective and efficient management and …

Data recovery is one of the tools used to obtain digital forensics from various storage media
that rely entirely on the file system used to organize files in these media. In this paper, two of …

Aiming at the common support vector machine's biased disadvantage and computational
complexity, an unbiased least squares support vector machine (LSSVM) model is proposed …