We present a collective approach to mine Bayesian networks from distributed heterogenous web-log data streams. In this approach we first learn a local Bayesian network at each site using the local data. Then each site identifies the observations that are most likely to be evidence of coupling between local and non-local variables and transmits a subset of these observations to a central site. A...

The problem of “scaling up for high dimensional data and high speed data streams” is among the “ten challenging problems in data mining research”[36]. This paper is devoted to estimating entropy of data streams. Mining data streams[19, 4, 1, 29] in (e.g.,) 100 TB scale databases has become an important area of research, e.g., [10, 1], as network data can easily reach that scale[36]. Search engi...

Ring topology is a simple configuration used to connect processes that communicate among themselves. A number of network standards such as token ring, token bus, and FDDI are based on the ring connectivity. This article will develop an implementation of a ring of processes that communicate among themselves via pipe links. The processes are nodes in the ring. Each process reads from its standard...

Dataflow matrix machines are self-referential generalized recurrent neural nets. The self-referential mechanism is provided via a stream of matrices defining the connectivity and weights of the network in question. A natural question is: what should play the role of untyped lambda-calculus for this programming architecture? The proposed answer is a discipline of programming with only one kind o...

Heterogeneous streams (due to issues such as disparate traffic characteristics of each stream, or competing customers’ traffic) raise the issue of whether to multiplex (some of) these streams. In an MPLS network, such multiplexing can be considered by putting different streams into a tunnel identified by a single label switched path (LSP), assuming that the different LSPs are assigned a reserve...

Video streaming technique is widely used in the Internet with the development of access networks. Although some techniques such as Forward Error Correction or Content Distribution Network are effective for video streaming services, they are not sufficient in the case that streams are suffered from heavy packet loss. For this problem, we propose a novel error correction method called “ECLIPSE: E...

It is important that the total bandwidth of the multiple streams should not exceed the network bandwidth in order to achieve a stable network flow with high performance in high bandwidth-delay product networks. Software pacing of TCP/IP for each stream sometimes exceeds the specified bandwidth, especially at the beginning of the stream or when buffer was overflow at the network router. We propo...

Continuous queries over data streams have gained popularity as the breadth of possible applications, ranging from network monitoring to online pattern discovery, have increased. Joining of streams is a fundamental issue that must be resolved to enable complex queries over multiple streams. However, as streams can represent potentially infinite data, it is infeasible to have full join evaluation...

Continuous queries over data streams have gained popularity as the breadth of possible applications, ranging from network monitoring to online pattern discovery, have increased. Joining of streams is a fundamental issue that must be resolved to enable complex queries over multiple streams. However, as streams can represent potentially infinite data, it is infeasible to have full join evaluation...

With the generation and analysis of stream data, such as network monitoring in real time, log records, click streams, a great deal of attention has been concerned on data streams mining in the field of data mining. In the process of the data streams mining, it is more reasonable to ask users to set a bound on the result size. Therefore, in this paper, an real-time single-pass algorithm, called ...