By Rajendra Prasath, Philip O'Reilly, T. Kathirvalavakumar
This ebook constitutes the lawsuits of the second one foreign convention on Mining Intelligence and information Exploration, MIKE 2014, held in Cork, eire, in December 2014. The forty papers awarded have been rigorously reviewed and chosen from sixty nine submissions. The papers hide themes akin to info retrieval, function choice, category, clustering, photo processing, community protection, speech processing, laptop studying, recommender structures, normal language processing, language, cognition and computation, and company intelligence.
Read or Download Mining Intelligence and Knowledge Exploration: Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings PDF
Similar mining books
Particular booklet 196. Exhumation of the North Atlantic Margin: Timing, Mechanisms and Implications for Petroleum Exploration. Northwest Europe has passed through repeated episode of exhumation (the publicity of previously buried rocks) as a result of such elements as post-orogenic unroofing, rift-shoulder uplift, hotspot job, compressive tectonics, eustatic seal-level swap, glaciation and isostatic re-adjustment.
Seriously illustrated with 900 photographs of tangible good keep an eye on websites, universal good keep watch over dangers: id and Countermeasures presents a visible illustration of 177 universal good regulate dangers and the way to avoid or counteract them. the right significant other for any engineer who must boost and observe their ability extra successfully, this “plain language” advisor covers universal good regulate gear akin to: BOP keep watch over procedure, BOP manifold, kill manifold, drilling fluid restoration pipes, IBOP instruments, liquid fuel separator, and fireplace, explosion & H2S prevention.
Offshore Safety Management. Implementing a SEMS Program
2010 was once a defining 12 months for the offshore oil and fuel within the usa. On April 20, 2010, the Deepwater Horizon (DWH) floating drilling rig suffered a catastrophic explosion and hearth. 11 males died within the explosion ― 17 others have been injured. the fireplace, which burned for an afternoon and a part, ultimately despatched the complete rig to the ground of the ocean.
Designing for Human Reliability: Human Factors Engineering in the Oil, Gas, and Process Industries
Underestimates the level to which behaviour at paintings is motivated via the layout of the operating atmosphere. Designing for Human Reliability argues that larger information of the contribution of layout to human blunders can considerably improve HSE functionality and increase go back on funding. Illustrated with many examples, Designing for Human Reliability explores why paintings platforms are designed and carried out such that "design-induced human errors" turns into more-or-less inevitable.
- Introduction to Well Logs and Subsurface Maps
- Sustainable management of mining operations
- Twort's Water Supply
- Options for Developing Countries in Mining Development
- Geostatistics for Seismic Data Integration in Earth Models
Additional info for Mining Intelligence and Knowledge Exploration: Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings
Example text
100 voice minutes, 100 SMS/MMS and 1 GB of data per month). 2 Experimental Settings Trivial Approaches. The first and the most na¨ıve approach for the coldstart recommendation systems at Telcos is to choose randomly a rate-plan to recommend to a new user. This algorithm is very efficient, especially, when we do not have any description on users and the algorithm seems to be reasonable. The second trivial approach is to recommend the most popular rate-plan (Most common) to the new user. This is a sensible approach in terms of the efficiency and many operators apply this.
In: 2004 International Conference on Intelligent Mechatronics and Automation, pp. 332–338. : Interval Set Clustering of Web Users with Rough K-means. : Using Collaborative Filtering to Weave an Information Tapestry. : An Algorithmic Framework for Performing Collaborative Filtering. , Tong, R. ) SIGIR 1999, pp. 230–237. : Empirical Comparison of Local Structural Similarity Indices for Collaborative-Filtering-Based Recommender Systems. , Castellano, C. ) China-Europe 2010. Physics Procedia, vol. 3, pp.
While solving this problem, we try to recommend a rate-plan that is sufficiently good in terms the features and that the user will accept. Thus, classic precision measurements are not applicable. We, therefore, define the Average-Feature Prediction (AFP) as a new evaluation measurement of how much of the features of the rate-plan chosen by T new users are predictable on average: AF PT = 4 1 (2) RewardT T Bandit Algorithms for the CSAR Problem Based on the idea of the multi-armed bandit [5,6,7], in the following we translate the new CSAR problem into a bandit problem.