Bitcoin mining presents a significant economic incentive for efficient hashing and broadcast of data, both parameters stemming from the Proofs-of-Work used to advance the network. This incentive has led to the development of Bitcoin-specific application-specific integrated circuits (ASICs) and centralized mining pools, undermining the decentralized motivations behind Bitcoin’s design. In additi...

In this paper, we have constructed a large scale ATM-connected PC cluster consists of 100 PCs, implemented a data mining application, and optimized its execution environment. Default parameters of TCP retransmission mechanism cannot provide good performance for data mining application, since a lot of collisions occur in the case of all-to-all multicasting in the large scale PC cluster. Using a ...

Gold mining by itinerant miners is acknowledged by the International Labour Organization (ILO) as the means of livelihood for more than 13 million people in the developing world. Though there are many potential socio-economic benefits of smallscale mining, there are also negative impacts from these small and inefficient operations due to wasteful extraction and processing techniques, often invo...

1. The data revolution in games – and everywhere else – calls for analysis methods that scale to with dataset size. The solution: game data mining. 2. Game data mining deals with the challenges of acquiring actionable insights from game telemetry. 3. Read the chapter for an introduction to game data mining, an overview of methods commonly and not so commonly used, examples, case studies and a s...

In order to overcome the difficulty of cognitive and mining for large-scale multi-relationship system, we take the advantages of intelligent computing of FCM (Fuzzy Cognitive Map) and update the traditional FCM to MRFCM (Multi-Relationship based Fuzzy Cognitive Map) for multi-relationship data mining. The state mining of hyper-node and multi-relationship inference of MRFCM are studied and imple...

---A large number of contributions in the literature have been proposed for item set mining, exploring various measures according to the chosen relevance criteria. However, items are actually different in many aspects in a number of real applications, such as retail marketing, network log, etc. The difference between items makes a strong impact on the decision making in these applications. Ther...