Understanding people’s goals is a challenging issue that is met in many different areas such as security, sales, information retrieval, etc. Intention Mining aims at uncovering intentions from observations of actual activities. While most Intention Mining techniques proposed so far focus on mining individual intentions to analyze web engine queries, this paper proposes a generic technique to mi...

Our ability to interrogate the cell and computationally assimilate its answers is improving at a dramatic pace. For instance, the study of even a focused aspect of cellular activity, such as gene action, now benefits from multiple high-throughput data acquisition technologies such as microarrays, genome-wide deletion screens, and RNAi assays. A critical need is the development of algorithms tha...

Web page prediction is a technique of web usage mining used to predict the next set of web pages that a user may visit based on the knowledge of previously visited web pages. The World Wide Web (WWW) is a popular and interactive medium for publishing the information. While browsing the web, users are visiting many unwanted pages instead of targeted page. The web usage mining techniques are used...

rajasthan is one of the main mineral potential state of india. during the last 30 years it has witnessed enormous expansion of mining industries, but mining of most of the minor minerals coupled with changing climate has posed serious problems to the environmental fabric in the state, apart from base metal beneficiation plants. groundwater is also being polluted day-by-day by effluents generate...

Sequential pattern mining is the process of applying data mining techniques to a sequential database, to extract frequent subsequences to discover correlation that exists among the ordered list of events. Web Usage mining (WUM) discovers and extracts interesting knowledge/patterns from Web logs is one of the applications of Sequential Pattern Mining. In this paper, we present a survey of the se...

This paper is based on the open pit to underground mining practice of Daye Iron Mine. The influence mechanism between high-steep slope and non-pillar sublevel caving method is studied by using physical model test. Firstly, engineering geological properties of the choosing typical research section is analysed and generalized. Secondly, the system of open pit to underground mining is developing a...

Setting up and reusing data mining processes is a complex task. Based on our experience from a project on the analysis of clinicogenomic data we will make the point that supporting the setup and reuse by setting up large workflow repositories may not be realistic in practice. We describe an approach for automatically collecting workflow information and meta data and introduce data mining patter...

As discussed in Part 1 of the book in chapter Form-Semantics-Function. A Framework for Designing Visualisation Models for Visual Data Mining the development of consistent visualisation techniques requires systematic approach related to the tasks of the visual data mining process. Chapter Visual discovery of network patterns of interaction between attributes presents a methodology based on viewi...

This paper presents an approach for mining visual actions from real-world videos. Given a large number of movies, we want to automatically extract short video sequences corresponding to visual human actions. First, we find commonly occurring actions by mining verbs extracted from movie transcripts. Next, we align the transcripts with the videos using subtitles. We then retrieve video samples fo...

The purpose of this paper is to develop a customer-oriented organisational diagnostic model, ‘PARA’ model, based on data mining of customer-complaint databases. The proposed ‘PARA’ model, which is designed to diagnose and correct service failures, takes its name from the initial letters of the four analytical stages of the model: (i) ‘primary diagnosis’; (ii) ‘advanced diagnosis’; (iii) ‘review...