We present a novel methodology to perform passive testing. The usual approach consists in recording the trace produced by the implementation under test and trying to find a fault by comparing this trace with the specification. We propose a more active approach to passive testing where the minimum set of (critical) properties required to a correct implementation may be explicitly indicated. In s...

Sequential pattern mining has been broadly studied and many algorithms have been proposed. The first part of this chapter proposes a new algorithm for mining frequent sequences. This algorithm processes only one scan of the database thanks to an indexed structure associated to a bit map representation. Thus, it allows a fast data access and a compact storage in main memory. Experiments have bee...

Generic Visual Object Categorization (VOC) aims at predicting whether at least one or several objects of some given categories are present in an image. In fact, VOC is a fundamental problem in computer vision and pattern recognition, and has become an important research topic due to the wide range of possible applications such as video monitoring, video coding systems, security access control, ...

The publish/subscribe communication model is increasingly considered for implementing middleware infrastructures for widely distributed applications. Scalability issues and routing algorithms of such systems have recently been the focus of intensive research. So far little attention has been given to security and management issues. In current publish/subscribe systems, malicious publishers can ...

Future mobile networks will be increasingly heterogeneous. Already today, wireless LAN is used by many mobile network operators as an addition to traditional technologies like GSM and UMTS; WiMax and 3GPP Long Term Evolution (LTE) will be added. Having heterogeneous wireless networks, one challenging research question needs to be answered: Which user should be served by which access network and...

Tandem’s Data Mining Server (DMS) is a parallel data engine designed to enable data mining tools to store, access and analyse high volumes of data very efficiently. In contrast to traditional database management systems, data structures are optimized for analysis and pattern recognition, rather than for accessing individual rows. The data stored in DMS tables are encoded automatically, so the r...

In a domain such as medicine, it is important that individuals’ information needs are met with information on a suitable level of difficulty and expertise. This paper focuses on facilitating medical information access through reformulating queries and re-ranking result lists utilizing features typical for the language written for professionals or for laypersons. The aim is to produce result lis...

The optimized allocation for land use spatial structure is not only an important method to promote an effective and intensive use for land resources. In view of the existing model methods, most them lacking researches in the optimization allocation for spatial pattern of land use. In this paper there has been proposed a multi-objectives optimization method based on improved GA, in term of the c...

Web log frequent sequence pattern mining is an important field of Web log mining and of discovering interactive frequent sequence pattern between users and websites. It is easy to analyse users’ access sequence patterns by utilizing these sequence patterns and it is meaningful to build an intelligent website by mining Web log frequent sequential patterns. The PREWAP algorithm proposed in the pa...

Automatic recognition of time and date stamps in CCTV video enables the inclusion of time-based queries in video indexing applications. Such ability needs to deal with problems of low character resolution, non-uniform background, multiplexed video format, and random access to the video file. In this paper, we address these problems and propose a technique that solves the difficult task of chara...