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Abstract: In this paper, we introduce an generic framework for the mining of sequences under various constraints. More precisely, we study the enumeration of all partitions of a word into multisets of subsequences. We show that using additional predicates, this generator can be used for frequent subsequences and substrings mining. We define the transition graph whose vertices are multisets of words and arcs are transitions between multisets. We show that is a directed acyclic graph and it admits a covering tree. We use to propose a generic algorithm that enumerates all multisets that satisfies a set of predicates, without redundancy. [Copyright &y& Elsevier]

Abstract: A graph is called an interval graph if there exists a set of intervals corresponding to the vertex set of and two vertices are adjacent to each other if and only if the two corresponding intervals are intersecting with each other. In this paper, we apply the reliability-based backup 2-center modal proposed by Wang, Wu and Chao, in which each server may fail with a given probability, to interval graphs and present an time algorithm. [Copyright &y& Elsevier]

Abstract: Let denote an -vertex and -edge graph in which is a function mapping each vertex to a positive weight and is a function mapping each edge to a positive length . Given a positive integer , the -Center problem involves finding a set with vertices of to be the locations for building facilities. The objective is to minimize the maximum weighted distance from each vertex in – to its nearest vertex in . This paper considers a practical restriction: the induced subgraph of the selected vertices must be connected. The new variant is called the Connected -Center problem (the problem). For each fixed integer , on block graphs with exactly blocks, we first show that the problem is NP-hard when (1) , for all vertices , and , for all edges , and (2) , for all vertices , and , for all edges , respectively. Second, an -time algorithm for solving the problem on block graphs with unit vertex-weights and unit edge-lengths is proposed. Then, the algorithmic result is extended to handle the situation in which some vertices in cannot be included to form feasible solutions. The complexity of the extended algorithm is also . [Copyright &y& Elsevier]

Abstract: The paper is devoted to demonstrating a randomized algorithm for determining a dominating set in a given graph having a maximum degree of five. The algorithm follows the Las Vegas technique. Furthermore, the concept of a 2-separated collection of subsets of vertices in graphs is used. The suggested algorithm is based on a condition of the upper bound of the cardinality of a local dominating set. If the condition is not satisfied, then the algorithm halts with an appropriate message. Otherwise, the algorithm determines the dominating set. The given algorithm is considered a polynomial-time approximation one. [Copyright &y& Elsevier]