We address the problems of identifying malware in network telemetry logs and providing indicators compromise—comprehensible explanations behavioral patterns that identify threat. In our system, an array specialized detectors abstracts network-flow data into comprehensible events a first step. develop neural processes this sequence identifies specific threats, families broad categories malware. ...

Everyday methods providing managers with elaborated information making more comprehensible the results obtained of queries over OLAP systems are required. This problem is relatively recent due to the huge amount of information they store, but so far there are few proposals facing this issue, and they are mainly focused on presenting the information to the user in a comprehensible language (natu...

This paper presents a complete inductive learning system that aims to produce comprehensible theories for XML document classifications. The knowledge representation method is based on a higherorder logic formalism which is particularly suitable for structured-data learning systems. A systematic way of generating predicates is also given. The learning algorithm of the system is a modified standa...

In machine learning, symbolic approaches usually yield comprehensible results without free parameters for further (incremental) retraining. On the other hand, non-symbolic (connectionist or neural network based) approaches usually yield black-boxes which are diicult to understand and reuse. The goal of this study is to propose a machine learner that is both incrementally retrainable and compreh...

The paper addresses comprehensible proof presentation for teaching and learning that can be provided by an automated proof planner that is a component of the proof development environment mega. Starting from empirically discovered requirements for the comprehen-sibility of proofs we show that, given a proof plan representation of a proof, the problem of automatically presenting a mathematical p...

A preference for a consistent point of view pervades narrative comprehension, memory, and production. Subjects read statements exhibiting a consistent point of view faster than statements exhibiting a change in point of view, and they rated the consistent statements as more comprehensible than change statements. Futhermore, subjects tended to misrecall change statements as consistent statements...

A significant limitation of neural networks is that the representations they learn are usually incomprehensible to humans. We present a novel algorithm, TREPAN, for extracting comprehensible , symbolic representations from trained neural networks. Our algorithm uses queries to induce a decision tree that approximates the concept represented by a given network. Our experiments demonstrate that T...