Active Conceptual Modeling of Learning: Next Generation by Peter P. Chen, Leah Y. Wong

By Peter P. Chen, Leah Y. Wong

This quantity includes a number of the papers awarded in the course of the First overseas ACM-L Workshop, which used to be held in Tucson, Arizona, throughout the twenty fifth overseas convention on Conceptual Modeling, ER 2006.

Included during this cutting-edge survey are eleven revised complete papers, conscientiously reviewed and chosen from the workshop displays. those are crowned off with four invited lectures and an introductory and motivational overview.

Taken as a complete, those papers disguise almost all the present pondering in conceptual modeling research.

The workshop in query taken with improving the basic figuring out of ways to version continuous studying from previous reviews and the way to trap wisdom from transitions among process states.

Active conceptual modeling is a continuing strategy of describing all features of a site, its actions, and alterations from assorted views in line with our wisdom and understanding.

Show description

Read or Download Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development PDF

Best data mining books

Knowledge-Based Intelligent Information and Engineering Systems: 11th International Conference, KES 2007, Vietri sul Mare, Italy, September 12-14, 2007,

The 3 quantity set LNAI 4692, LNAI 4693, and LNAI 4694, represent the refereed complaints of the eleventh overseas convention on Knowledge-Based clever info and Engineering platforms, KES 2007, held in Vietri sul Mare, Italy, September 12-14, 2007. The 409 revised papers awarded have been rigorously reviewed and chosen from approximately 1203 submissions.

Knowledge Discovery from Sensor Data (Industrial Innovation)

As sensors turn into ubiquitous, a collection of extensive necessities is starting to emerge throughout high-priority purposes together with catastrophe preparedness and administration, adaptability to weather swap, nationwide or fatherland defense, and the administration of severe infrastructures. This publication offers cutting edge suggestions in offline info mining and real-time research of sensor or geographically dispensed info.

Recommender Systems for Social Tagging Systems

Social Tagging structures are net purposes within which clients add assets (e. g. , bookmarks, movies, pictures, and so forth. ) and annotate it with an inventory of freely selected key phrases known as tags. this can be a grassroots method of manage a domain and support clients to discover the assets they're drawn to. Social tagging platforms are open and inherently social; beneficial properties which were confirmed to motivate participation.

Freemium Economics: Leveraging Analytics and User Segmentation to Drive Revenue

Freemium Economics provides a pragmatic, instructive method of effectively enforcing the freemium version into your software program items by way of construction analytics into product layout from the earliest levels of improvement. Your freemium product generates large volumes of knowledge, yet utilizing that information to maximise conversion, advance retention, and carry profit could be demanding in the event you do not absolutely comprehend the effect that small adjustments could have on profit.

Extra info for Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development

Example text

Scheuermann 1. Translates the specifications of the original trigger into: → ← TR1’: ON E1 ; (EC ; EC ) 1c 1c IF C1i THEN A1 2. , in the case of Rq1 it is send to the air-base. 2 (EC 1c if the evaluation of C1c is done locally or in the remote site. This event denotes that the condition has been evaluated to true, and the notification about it, from the possibly remote site, has been received. 3. 2 A trigger that is either registered locally, or transmitted to the remote site, which essentially states: TR1c: ON E1 ; C1c → ← IF C1c valid until(¬E1 ) THEN A(Notify(EC )) 1c 4.

8GHz processor, with 1G of DDR2 memory. Our network consisted of 400 nodes whose parameters emulated the MICA-Motes, and we executed 50 different (R1, R2) pairs, running the simulation for 2 hours for different combinations of the parameters above. Our observations are depicted in Figure 4 where the left portion represents the energy lost in the nodes, 42 G. Trajcevski and P. Scheuermann and the right portion depicts the number of messages exchanged. The solid line represents the average of all observations operating without the meta-trigger installation in the cluster leaders of R1 and R2, R2 being constantly polled.

As shown in the examples, our approach is particularly useful when considering mobile targets. In recent years, there has been an increasing interest in systems that consider mobile data sources and location-based systems [21]. Most systems are still in a fledgling stage, where the influence of location is rather direct and complex dependencies on combinations of location, direction, other contexts several mobile peers and static items are only just evolving. 6 Concluding Remarks and Future Work We presented our (ECA)2 paradigm for specifying triggers that are aware of the dynamic correlation between the events and conditions and, in a sense, can “react in a proactive manner” – by modifying themselves.

Download PDF sample

Rated 4.20 of 5 – based on 31 votes